Explore opportunities in computer vision, a rapidly advancing field within artificial intelligence. Computer vision jobs involve developing algorithms that allow computers to interpret and understand visual data, like images and videos. These roles are available across various sectors, including technology, healthcare, and automotive. 4,381 Computer Vision jobs in the United States
Technical Fellow-Artificial Intelligence (Computer Vision/LLMs/VLMs)
94039 Mountainview, California
General Motors
Posted today
Job Viewed
Job Description
**Job Description**
**Workplace Classification:**
**Hybrid** : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business.
**The Team:**
You'll join GM's Vision and Automation Services (VAAS) group, where we're building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions - from robotic vision systems to foundation models for industrial knowledge - that will define the next century of transportation.
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
**The Role:**
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future.
Are you a hands-on AI expert who thrives at the edge of innovation? We're looking for **Technical Fellows** to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems - including computer vision, large language models (LLMs), and vision-language models (VLMs).
**What You'll Do (Responsibilities):**
+ Sets the org-wide bar for engineering excellence and quality.
+ Challenges assumptions and drives high-impact technical decisions.
+ Leads cross-functional alignment across software, data, hardware, safety, and security.
+ Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
+ Scales expertise through mentorship, playbooks, and knowledge sharing.
+ Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explain ability.
+ Delivers invention and platform solutions with measurable business and customer value.
+ Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs).
+ Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs).
+ Balances system requirements across performance, safety, reliability, cost, and compliance.
+ Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
+ Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems.
**Your Skills & Abilities (Required Qualifications):**
+ PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences.
+ 15+ years' experience in research and design Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
+ Experience in designing and implementing large scale AI solutions
+ Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
+ Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python,Java, etc.)
+ Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
+ Familiarity with OpenGL and OpenCL
+ In-depth experience with Ops, MLOps, and/or VLM/LLMOps
+ Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
+ Experience leading high-impact, cross-company initiatives
+ Established track record of excellence in relevant research areas
+ Excellent communication skills in presentation (both verbal and slides)
+ Very strong drive for continuous delivery of new and improved capabilities to production
**Compensation:**
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $234,000 - $358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Company Vehicle** : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING**
**A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)**
**This job may be eligible for relocation benefits.**
#LI-DH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**Workplace Classification:**
**Hybrid** : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business.
**The Team:**
You'll join GM's Vision and Automation Services (VAAS) group, where we're building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions - from robotic vision systems to foundation models for industrial knowledge - that will define the next century of transportation.
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
**The Role:**
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future.
Are you a hands-on AI expert who thrives at the edge of innovation? We're looking for **Technical Fellows** to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems - including computer vision, large language models (LLMs), and vision-language models (VLMs).
**What You'll Do (Responsibilities):**
+ Sets the org-wide bar for engineering excellence and quality.
+ Challenges assumptions and drives high-impact technical decisions.
+ Leads cross-functional alignment across software, data, hardware, safety, and security.
+ Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
+ Scales expertise through mentorship, playbooks, and knowledge sharing.
+ Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explain ability.
+ Delivers invention and platform solutions with measurable business and customer value.
+ Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs).
+ Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs).
+ Balances system requirements across performance, safety, reliability, cost, and compliance.
+ Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
+ Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems.
**Your Skills & Abilities (Required Qualifications):**
+ PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences.
+ 15+ years' experience in research and design Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
+ Experience in designing and implementing large scale AI solutions
+ Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
+ Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python,Java, etc.)
+ Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
+ Familiarity with OpenGL and OpenCL
+ In-depth experience with Ops, MLOps, and/or VLM/LLMOps
+ Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
+ Experience leading high-impact, cross-company initiatives
+ Established track record of excellence in relevant research areas
+ Excellent communication skills in presentation (both verbal and slides)
+ Very strong drive for continuous delivery of new and improved capabilities to production
**Compensation:**
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $234,000 - $358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Company Vehicle** : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING**
**A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)**
**This job may be eligible for relocation benefits.**
#LI-DH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
View Now
0
Technical Fellow-Artificial Intelligence (Computer Vision/LLMs/VLMs)
48093 Warren, Michigan
General Motors
Posted today
Job Viewed
Job Description
**Job Description**
**Workplace Classification:**
**Hybrid** : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business.
**The Team:**
You'll join GM's Vision and Automation Services (VAAS) group, where we're building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions - from robotic vision systems to foundation models for industrial knowledge - that will define the next century of transportation.
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
**The Role:**
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future.
Are you a hands-on AI expert who thrives at the edge of innovation? We're looking for **Technical Fellows** to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems - including computer vision, large language models (LLMs), and vision-language models (VLMs).
**What You'll Do (Responsibilities):**
+ Sets the org-wide bar for engineering excellence and quality.
+ Challenges assumptions and drives high-impact technical decisions.
+ Leads cross-functional alignment across software, data, hardware, safety, and security.
+ Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
+ Scales expertise through mentorship, playbooks, and knowledge sharing.
+ Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explain ability.
+ Delivers invention and platform solutions with measurable business and customer value.
+ Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs).
+ Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs).
+ Balances system requirements across performance, safety, reliability, cost, and compliance.
+ Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
+ Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems.
**Your Skills & Abilities (Required Qualifications):**
+ PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences.
+ 15+ years' experience in research and design Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
+ Experience in designing and implementing large scale AI solutions
+ Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
+ Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python,Java, etc.)
+ Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
+ Familiarity with OpenGL and OpenCL
+ In-depth experience with Ops, MLOps, and/or VLM/LLMOps
+ Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
+ Experience leading high-impact, cross-company initiatives
+ Established track record of excellence in relevant research areas
+ Excellent communication skills in presentation (both verbal and slides)
+ Very strong drive for continuous delivery of new and improved capabilities to production
**Compensation:**
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $234,000 - $358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Company Vehicle** : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING**
**A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)**
**This job may be eligible for relocation benefits.**
#LI-DH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**Workplace Classification:**
**Hybrid** : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business.
**The Team:**
You'll join GM's Vision and Automation Services (VAAS) group, where we're building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions - from robotic vision systems to foundation models for industrial knowledge - that will define the next century of transportation.
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
**The Role:**
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future.
Are you a hands-on AI expert who thrives at the edge of innovation? We're looking for **Technical Fellows** to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems - including computer vision, large language models (LLMs), and vision-language models (VLMs).
**What You'll Do (Responsibilities):**
+ Sets the org-wide bar for engineering excellence and quality.
+ Challenges assumptions and drives high-impact technical decisions.
+ Leads cross-functional alignment across software, data, hardware, safety, and security.
+ Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
+ Scales expertise through mentorship, playbooks, and knowledge sharing.
+ Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explain ability.
+ Delivers invention and platform solutions with measurable business and customer value.
+ Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs).
+ Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs).
+ Balances system requirements across performance, safety, reliability, cost, and compliance.
+ Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
+ Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems.
**Your Skills & Abilities (Required Qualifications):**
+ PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences.
+ 15+ years' experience in research and design Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
+ Experience in designing and implementing large scale AI solutions
+ Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
+ Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python,Java, etc.)
+ Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
+ Familiarity with OpenGL and OpenCL
+ In-depth experience with Ops, MLOps, and/or VLM/LLMOps
+ Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
+ Experience leading high-impact, cross-company initiatives
+ Established track record of excellence in relevant research areas
+ Excellent communication skills in presentation (both verbal and slides)
+ Very strong drive for continuous delivery of new and improved capabilities to production
**Compensation:**
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $234,000 - $358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Company Vehicle** : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING**
**A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)**
**This job may be eligible for relocation benefits.**
#LI-DH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
View Now
1
Technical Fellow-Artificial Intelligence (Computer Vision/LLMs/VLMs)
78703 Austin, Texas
General Motors
Posted today
Job Viewed
Job Description
**Job Description**
**Workplace Classification:**
**Hybrid** : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business.
**The Team:**
You'll join GM's Vision and Automation Services (VAAS) group, where we're building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions - from robotic vision systems to foundation models for industrial knowledge - that will define the next century of transportation.
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
**The Role:**
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future.
Are you a hands-on AI expert who thrives at the edge of innovation? We're looking for **Technical Fellows** to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems - including computer vision, large language models (LLMs), and vision-language models (VLMs).
**What You'll Do (Responsibilities):**
+ Sets the org-wide bar for engineering excellence and quality.
+ Challenges assumptions and drives high-impact technical decisions.
+ Leads cross-functional alignment across software, data, hardware, safety, and security.
+ Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
+ Scales expertise through mentorship, playbooks, and knowledge sharing.
+ Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explain ability.
+ Delivers invention and platform solutions with measurable business and customer value.
+ Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs).
+ Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs).
+ Balances system requirements across performance, safety, reliability, cost, and compliance.
+ Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
+ Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems.
**Your Skills & Abilities (Required Qualifications):**
+ PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences.
+ 15+ years' experience in research and design Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
+ Experience in designing and implementing large scale AI solutions
+ Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
+ Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python,Java, etc.)
+ Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
+ Familiarity with OpenGL and OpenCL
+ In-depth experience with Ops, MLOps, and/or VLM/LLMOps
+ Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
+ Experience leading high-impact, cross-company initiatives
+ Established track record of excellence in relevant research areas
+ Excellent communication skills in presentation (both verbal and slides)
+ Very strong drive for continuous delivery of new and improved capabilities to production
**Compensation:**
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $234,000 - $358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Company Vehicle** : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING**
**A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)**
**This job may be eligible for relocation benefits.**
#LI-DH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**Workplace Classification:**
**Hybrid** : This role is categorized as hybrid. This means the candidate is expected to report to their primary work location three times per week, at minimum, or other frequency dictated by the business.
**The Team:**
You'll join GM's Vision and Automation Services (VAAS) group, where we're building real-time AI applications that impact safety, quality, and productivity across global plants. This is your chance to work on high-impact solutions - from robotic vision systems to foundation models for industrial knowledge - that will define the next century of transportation.
If you want a place that challenges you to bring your curiosity, enthusiasm, desire to learn, grow, and succeed every day, to build automotive solutions that are the benchmark for other automotive companies and suppliers, then this is the place for you.
**The Role:**
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we are building a team of people who are passionate about creating safer, better, and more sustainable solutions. This bold vision won't happen overnight, but just as we transformed how the transportation in the last century, we are committed to transforming how we move today and in the future.
Are you a hands-on AI expert who thrives at the edge of innovation? We're looking for **Technical Fellows** to help shape the future of manufacturing by leading the design and deployment of cutting-edge AI systems - including computer vision, large language models (LLMs), and vision-language models (VLMs).
**What You'll Do (Responsibilities):**
+ Sets the org-wide bar for engineering excellence and quality.
+ Challenges assumptions and drives high-impact technical decisions.
+ Leads cross-functional alignment across software, data, hardware, safety, and security.
+ Owns outcomes across programs and platforms, including risk, quality, and long-term maintainability.
+ Scales expertise through mentorship, playbooks, and knowledge sharing.
+ Provides authoritative AI/ML leadership on architecture design, evaluation, robustness, and explain ability.
+ Delivers invention and platform solutions with measurable business and customer value.
+ Owns end-to-end technical strategy and architecture; defines critical requirements and Non-Functional Requirements (NFRs).
+ Directs complex design reviews and trade studies; records decisions through Architecture Decision Record (ADRs).
+ Balances system requirements across performance, safety, reliability, cost, and compliance.
+ Defines and enforces org-wide standards and best practices (testing, CI/CD, MLOps/data governance).
+ Acts as a force multiplier: mentors senior/staff, raises the hiring bar, and leads critical postmortems.
**Your Skills & Abilities (Required Qualifications):**
+ PhD in a relevant field or related discipline (STEM focused), or equivalent research experience with a proven track record of publications in reputed journals and conferences.
+ 15+ years' experience in research and design Computer Vision / VLM / LLM solutions with significant focus on Machine Vision, with at least 10 of those years in a hands-on technical or scientific leadership position
+ Experience in designing and implementing large scale AI solutions
+ Experience in leading large-scale AI/ML development projects from concept to multiple releases in production
+ Strong hands on experience with at least one of the popular machine learning frameworks (PyTorch, Tensorflow, Keras, etc.), and familiarity with programming languages (C++, Python,Java, etc.)
+ Familiarity with multiple open-source machine/computer vision libraries (OpenCV, PIL, etc.)
+ Familiarity with OpenGL and OpenCL
+ In-depth experience with Ops, MLOps, and/or VLM/LLMOps
+ Familiarity in cloud-based development and integration (Azure, AWS, Google Cloud)
+ Experience leading high-impact, cross-company initiatives
+ Established track record of excellence in relevant research areas
+ Excellent communication skills in presentation (both verbal and slides)
+ Very strong drive for continuous delivery of new and improved capabilities to production
**Compensation:**
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $234,000 - $358,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Company Vehicle** : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING**
**A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)**
**This job may be eligible for relocation benefits.**
#LI-DH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
View Now
2
Senior Deep Learning Engineer - Computer Vision
10001 New York, New York
$150000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a leader in AI-driven solutions, is seeking a highly skilled Senior Deep Learning Engineer with expertise in Computer Vision to join their fully remote team. This role involves architecting, developing, and deploying state-of-the-art deep learning models for image and video analysis. You will tackle complex challenges in areas such as object detection, image segmentation, facial recognition, and generative modeling. Responsibilities include researching cutting-edge CV techniques, implementing and optimizing deep neural networks, building robust training and inference pipelines, and collaborating with software engineers to integrate models into production systems. The ideal candidate possesses a strong theoretical foundation in machine learning and computer vision, coupled with extensive practical experience. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or JAX is essential. Experience with cloud platforms (AWS, GCP, Azure) and large-scale dataset management is highly desirable. You should have a proven track record of delivering impactful CV solutions, ideally demonstrated through publications, open-source contributions, or successful product deployments. A Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, along with a minimum of 6 years of relevant industry experience, is required. Excellent problem-solving skills, a passion for innovation, and the ability to work independently in a remote environment are crucial. This is an outstanding opportunity to contribute to groundbreaking AI advancements and shape the future of computer vision technology from your home office. Our client offers a challenging yet rewarding work environment, competitive compensation, and comprehensive benefits. Join a team that is pushing the boundaries of what's possible with AI. This role is suitable for individuals located anywhere in the US, contributing remotely to projects based in the **New York City, New York, US** region, though the work is performed remotely.
Responsibilities:
Responsibilities:
- Design, train, and deploy deep learning models for computer vision tasks.
- Develop and optimize algorithms for image classification, object detection, segmentation, etc.
- Build and maintain efficient data pipelines for large-scale image and video datasets.
- Collaborate with cross-functional teams to integrate CV models into products and services.
- Research and implement state-of-the-art computer vision and deep learning techniques.
- Evaluate model performance and identify areas for improvement.
- Write production-quality code and contribute to code reviews.
- Stay current with advancements in the field of AI and computer vision.
- Mentor junior engineers and contribute to team knowledge sharing.
- Master's or Ph.D. in Computer Science, Engineering, or a related field.
- 6+ years of professional experience in deep learning and computer vision.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Strong programming skills in Python.
- Proven experience with CV tasks such as object detection, image segmentation, and recognition.
- Familiarity with cloud computing platforms (AWS, GCP, Azure).
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a remote, collaborative team environment.
- Strong communication and presentation skills.
- Experience with large-scale data processing is a plus.
Apply Now
3
Computer Vision Engineer
94029 Menlo Park, California
Aditi Consulting
Posted today
Job Viewed
Job Description
Payrate: $75.00 - $2.43/hr.
Summary:
We are looking for a computer graphics engineer to work with the team on developing synthetic data to train and validate 3D Machine Learning features in Quest and Wearable products. A successful engineer will have deep development experience in C++ / Python, as well as with 3D packages such as Blender, particularly in the domain of scene generation (both exterior and interiors). An extra plus would also be experience or interest in ML based rendering techniques.
Responsibilities:
Skills:
Education/Experience:
Pay Transparency: The typical base pay for this role across the U.S. is: 75.00 - 92.43/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
#
Summary:
We are looking for a computer graphics engineer to work with the team on developing synthetic data to train and validate 3D Machine Learning features in Quest and Wearable products. A successful engineer will have deep development experience in C++ / Python, as well as with 3D packages such as Blender, particularly in the domain of scene generation (both exterior and interiors). An extra plus would also be experience or interest in ML based rendering techniques.
Responsibilities:
- Work with engineers and technical artists to build and render procedural / ML techniques for creating indoor and outdoor scenes
- Contribute to scaled rendering pipelines generating millions of image frames
- Partner with Computer Vision / Machine Learning teams on dataset creation including requirements and deliveries.
- Build scaled workflows encompassing an entire render pipeline from sensor simulation and scene generation to rendering and ground truth creation (creating semantic segmentation, depth, normals, etc)
- Study state-of-the-art algorithms in the field of camera-based signal processing
- Assess and recommend emerging technologies through close partnership with external, industry leading suppliers
- Analyze and improve efficiency of algorithms
Skills:
- Expert knowledge of Python / C++
- Experience in at least one graphics system (Blender preferred)
- Strong general computer graphics knowledge and experience
- Excellent communication skills both verbal and written.
- Strong analytical and problem-solving skills.
- Preferred: Knowledge in 3D computer vision / machine learning
Education/Experience:
- Master degree in software engineering / computer science / computer graphics
Pay Transparency: The typical base pay for this role across the U.S. is: 75.00 - 92.43/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
#
View Now
4
Computer Vision Engineer
45208 Cincinnati, Ohio
ACL Digital
Posted today
Job Viewed
Job Description
Title: Computer Vision Engineer
Location: Onsite at Cincinnati, OH
Duration: 3-6 Months Contract to Hire
Summary:
Responsibilities:
Required Qualifications
Location: Onsite at Cincinnati, OH
Duration: 3-6 Months Contract to Hire
Summary:
- As a computer vision engineer, you will work on a dynamic team designing, implementing, and creating artificial intelligence processes to ensure the quality of jet engine components including non-destructive testing modality, design, materials, and manufacturing engineers to accelerate NDE productivity.
- Collaborate with other image analytics experts and software developers to create robust assisted defect recognition (ADR) algorithms to ensure part quality with high reliability.
- You will work with the latest aerospace part designs and materials systems and work with the design teams to define inspection solutions and enable future productivity strategies.
- Software development projects include cloud computing, parallelization, computational optimization, and object-oriented design and could include many other artificial intelligence techniques.
Responsibilities:
- Explore and analyze unstructured data such as Computed Tomography (CT)/Xray images or ultrasonic images through image processing.
- Work with the imaging and AI team to research, evaluate and optimize various computer vision and deep learning algorithms. Develop models to solve industrial problems
- Execute and provide guidance for the analysis/evaluation of assigned projects that meet business standards, practices, and procedures and the product/program requirements.
- Institute collaboration practices between self-organizing and cross-functional teams. Apply appropriate regression testing methods to inspection software releases.
- Identify need for technical and program reviews within the organization; lead and participate in the technical reviews with limited guidance from senior engineers.
- Demonstrate ability to monitor and communicate project status, business issues, and significant developments as appropriate.
- Assure proper documentation of technical data or programs generated for the assigned projects and tasks consistent with engineering policies and procedures.
- Understanding about depth and breadth of computer vision and deep learning algorithms.
Required Qualifications
- Bachelor's Degree in Computer Science, Computer Vision, Machine Learning, or in related fields (or a high school diploma / GED with a minimum of 4 years of experience in relevant engineering or strong technical knowledge and experience in computer vision)
- Good to have an Advanced degree MS or PhD
- Image processing and computer vision experience for object detection, classification, and segmentation in the industrial domain.
- Experiences with Rhythm, VG Studio, and Avizo software platforms experience; Matlab, Python/NumPy, or other engineering scripting languages
- Advanced knowledge in performance, scalability, and best practices for deploying computer vision solutions.
- Experience leading development teams for the design of software architectures and incorporation of customer requirements with a focus on quality.
- Troubleshoot local area network connected multi-computing environments.
- Ability to guide and influence others.
- In-depth understanding of engineering technology, tools, and computer operating systems
- Demonstrated software coding capabilities and computer networking/security capabilities in a production environment.
- Experience in a non-destructive testing environment.
View Now
5
Computer Vision Engineer
94024 Los Altos, California
Toyota Research Institute
Posted today
Job Viewed
Job Description
At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics.
In the Human Interactive Driving team, we are looking to build the future of intelligent vehicles that center the human experience. We do this by simultaneously working to understand human learning, while also pushing the limits of what can be achieved with autonomous control. Then, we bring the two elements together in a shared autonomy framework, amplifying human potential.
This role would be part of a new "Mobility 3.0" project that aims to bridge the gap between pure research and new product development. We will work closely with partners in Japan to rapidly prototype novel applications of innovative technology (including, of course, AI) to different types and scales of vehicles (including very small).
Responsibilities
- Work across teams to ideate on novel concepts for computer vision applications, including understanding and communicating the benefits and limitations of the current state-of-the-art, and the sensitivity to data availability and quality.
- Work multi-functionally with mechanical, electrical, and software engineers to build development and testing plans for computer vision components of larger, integrated mechatronics projects.
- Own the design, development, and deployment of computer vision systems for unique vehicle types.
- Travel occasionally to engage in testing of experimental vehicles, including to California and Japan.
- MS in Computer Science or related field, or BS + 3-5 years of experience.
- Experience in fine-tuning, training, and deploying ML computer vision systems.
- Familiarity with the current state of the art for computer vision.
- Experience with real hardware, e.g. robots with cameras, is a huge plus.
- Experience with ML infrastructure is a plus.
The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
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6
Computer Vision Expert
20811 Bethesda, Maryland
Booz Allen Hamilton
Posted today
Job Viewed
Job Description
Job Number: R
Computer Vision Expert
Computer Vision Expert
The Opportunity:
Our team of scientists provide Systems Engineering and Technical Assistancesupport to programs that have the potential to provide our nation with an overwhelming intelligence advantage. That's why we need you, a computer vision expert, to help us advise our government clients work with research partners that come from academia, other research institutions, and the private industry.
You'll work together with the Government Program Manager to deliver technical support and expertise on new concepts beyondthe program and integral to the program's success. We'll look to you to share your expertise through leadership and mentoring junior staff. Join us and take on exciting challenges in the Intelligence Community (IC).
Join us. The world can't wait.
You Have:
- 2+ years of experience in the development of image and video analytics
- 2+ years of experience with large systems software design and development, integration support or systems or software development projects, visualization, test driven development, automated unit testing, and data and configuration management
- 2+ years of experience with research and development (R&D) of image processing, computer vision, or software engineering
- 2+ years of experience creating program plans, work breakdown structures, and milestone schedules
- 1+ years of experience managing a multi-disciplinary R&D or Test and Evaluation (T&E) team
- 1+ years of experience with R&D of machine learning or deep neural network algorithms
- 1+ years of experience with technical evaluation and assessment techniques
- Experience with Agile program management and systems development processes, including integrated testing
- TS/SCI clearance with a polygraph
- Bachelor's degree in Physics, Mathematics, CS, or an Engineering field such as EE, Computer Engineering, Biometrics Engineering, Systems Engineering, Mechanical Engineering, or Software Engineering, and 8+ years of experience working in engineering, or Master's degree and 2+ years of experience working in engineering
Nice If You Have:
- 2+ years of experience with multiview geometry
- 2+ years of experience with optical sensor hardware
- 2+ years of experience with Unmanned Aerial Vehicles (UAVs)
- 2+ years of experience in the IC, including with requirements, CONOPS, and transition
- 2+ years of experience planning, organizing, and executing field data collections
- 2+ years of experience with the utilization, development, and management of commercial cloud environments
- 1+ years of experience as a Project Manager or Deputy Project Manager
- 1+ years of experience in remote sensing, image compression, enhancement of noisy or degraded imagery and metadata, optical sensor integration, classified research, probability or operations research, statistical analysis, or Neural Radiance Field (NeRF) modelling
- Master's degree in Physics, Mathematics, CS, or an Engineering field such as EE, Computer Engineering, Biometrics Engineering, Systems Engineering, Mechanical Engineering, or Software Engineering, preferred; Doctorate degree in Physics, Mathematics, CS, or an Engineering field such as EE, Computer Engineering, Biometrics Engineering, Systems Engineering, Mechanical Engineering, or Software Engineering, a plus
- Agile Management Certification such as SaFE Scaled Agilist (SA), PMI Agile Certified Practitioner (PMI-ACP), or Scrum Master Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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7
Computer Vision Engineer
94199 San Francisco, California
Aquabyte
Posted today
Job Viewed
Job Description
Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Job Requirements
- BS/MS in relevant technical degree
- 3+ years of experience with building computer vision software
- Strong coding ability; strong grasp of Python
- Experience with stereo vision, 3D reconstruction, and stereo calibration
- Experience with training neural networks / deep learning (ideally pytorch)
- Experience optimizing model inference for real-time inference on limited resources
- Strong software engineering skills; knowledge of best practices, testing, and deployment
- Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
- Experience with Docker and cloud SW development (i.e. AWS)
- Basic database interaction; knowledge of SQL
- Competitive salaries and generous equity
- Unlimited vacation policy
- Flexible working hours + hybrid work policy
- Medical, vision, & dental insurance
- Retirement matching plan
- Potential travel to Norway
- Evolve in a fast-paced environment
- Be able to shape a business in its early days
- Get ideas, feedback, and suggestions from other best-in-their-field colleagues
- Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
$130,000 - $170,000 a year
Aquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!
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8
Computer Vision Engineer
15289 Pittsburgh, Pennsylvania
Aquabyte
Posted today
Job Viewed
Job Description
Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Job Requirements
- BS/MS in relevant technical degree
- 3+ years of experience with building computer vision software
- Strong coding ability; strong grasp of Python
- Experience with stereo vision, 3D reconstruction, and stereo calibration
- Experience with training neural networks / deep learning (ideally pytorch)
- Experience optimizing model inference for real-time inference on limited resources
- Strong software engineering skills; knowledge of best practices, testing, and deployment
- Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
- Experience with Docker and cloud SW development (i.e. AWS)
- Basic database interaction; knowledge of SQL
- Competitive salaries and generous equity
- Unlimited vacation policy
- Flexible working hours
- Medical, vision, & dental insurance
- Retirement matching plan
- Potential travel to Norway
- Evolve in a fast-paced environment
- Be able to shape a business in its early days
- Get ideas, feedback, and suggestions from other best-in-their-field colleagues
- Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
$110,000 - $165,000 a year
Aquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!
View Now
9