770 Artificial Intelligence jobs in Santa Clara

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

We are looking for a highly skilled AI/ML Intern with a solid grasp of Computer Vision and Foundation Models, to tackle real-world challenges in robotics. The perfect candidate for our team is someone who embodies a proactive, can-do mindset, tackling tasks with enthusiasm and persistence. We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our fast-paced, innovative environment. This role is ideal for individuals eager to demonstrate their expertise and eager to grow in a cutting-edge technological setting.

In this role, you will:

• Design and implement state-of-the-art machine learning algorithms using robust, efficient Python code, ensuring high-quality evaluations and reliability.
• Lead the development of innovative deep neural networks to address key robotics problems, such as end-to-end learning, 3d scene understanding, 3D object detection, 3D world reconstruction, and self-supervised learning.
• Work with various sensor technologies like cameras, lidars, and radars to create and refine machine learning datasets, enhancing performance with growing data.
• Develop and manage automated AI flywheel, ensuring seamless integration and efficiency in the machine learning process.
• Work within Kodiak's advanced software ecosystem, pushing the frontiers of existing autonomous systems through continuous innovation and development.

What you'll bring:

• Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks; exceptional candidates pursuing a BS are considered.
• You are a skilled engineer with experience in applied AI research, Python programming, and strong problem-solving skills.
• You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before.
• A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
• Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
• Hands-on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset curation to training and validation.
• Great communicator. You have experience writing clear, concise, and detailed design documents. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems.

Internship Program Details:

• Start Date: January 2026.
• Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
• Location: Mountain View, CA.
• Housing: interns are responsible for housing.

What we offer:

• A fast paced environment where we work with talented, committed and supportive teammates.
• Competitive pay.
• Excellent medical, dental and vision benefits. A beautiful facility in Mountain View.
• We love our dogs, so we are a dog friendly office!
• Free catered lunch.

Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.

California Pay Range

$10,000-$10,000 USD

Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

**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.

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

As an AMD ML/AI intern/co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter-and your experience here will be a launchpad for what comes next.

JOB DETAILS:

• Location: San Jose, CA or Santa Clara, CA
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
• Duration:
  • Spring/Summer Co-op: January 26, 2026 - August 7, 2026
  • Summer/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
  • Spring Internship: January 26, 2026 - May 1, 2026
  • Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 - September 11, 2026
  • Fall Internship: September 14, 2026 - December 11, 2026

WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role -

• We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
• We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
• We may assign you to one or more of the following project work -
• Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
  • Research, development, and deployment in machine learning-based and computer vision products on AMD's current and future products
  • Fixing and addressing problems with deployed AI to improve user experience
  • Support AI software teams with roadmap planning, collateral development, and customer engagements

WHO WE ARE LOOKING FOR:

• You are currently enrolled in a US based University into a PhD degree program majoring in computer science, computer engineering, data science / analytics, or a related field
• If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply -
  • Machine learning, data science, computer vision, statistics, and mathematics
  • Programming in Python, C/C++
  • Relational (SQL) and no-SQL databases
  • Machine learning algorithms and frameworks
  • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
  • Familiarity with cloud (e.g., AWS, GCP, Azure)

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

As an AMD ML/AI intern/co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter-and your experience here will be a launchpad for what comes next.

JOB DETAILS:

• Location: San Jose, CA or Santa Clara, CA
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
• Duration:
  • Spring/Summer Co-op: January 26, 2026 - August 7, 2026
  • Summer/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
  • Spring Internship: January 26, 2026 - May 1, 2026
  • Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 - September 11, 2026
  • Fall Internship: September 14, 2026 - December 11, 2026

WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role -

• We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
• We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
• We may assign you to one or more of the following project work -
• Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
  • Research, development, and deployment in machine learning-based and computer vision products on AMD's current and future products
  • Fixing and addressing problems with deployed AI to improve user experience
  • Support AI software teams with roadmap planning, collateral development, and customer engagements

WHO WE ARE LOOKING FOR:

• You are currently enrolled in a US based University into a PhD degree program majoring in computer science, computer engineering, data science / analytics, or a related field
• If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply -
  • Machine learning, data science, computer vision, statistics, and mathematics
  • Programming in Python, C/C++
  • Relational (SQL) and no-SQL databases
  • Machine learning algorithms and frameworks
  • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
  • Familiarity with cloud (e.g., AWS, GCP, Azure)

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

As an AMD ML/AI intern/co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter-and your experience here will be a launchpad for what comes next.

JOB DETAILS:

• Location: San Jose, CA or Santa Clara, CA
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
• Duration:
  • Spring/Summer Co-op: January 26, 2026 - August 7, 2026
  • Summer/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
  • Spring Internship: January 26, 2026 - May 1, 2026
  • Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 - September 11, 2026
  • Fall Internship: September 14, 2026 - December 11, 2026

WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role -

• We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
• We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
• We may assign you to one or more of the following project work -
• Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
  • Research, development, and deployment in machine learning-based and computer vision products on AMD's current and future products
  • Fixing and addressing problems with deployed AI to improve user experience
  • Support AI software teams with roadmap planning, collateral development, and customer engagements

WHO WE ARE LOOKING FOR:

• You are currently enrolled in a US based University in a bachelor's degree program majoring in computer science, computer engineering, data science / analytics, or a related field
• If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply -
  • Machine learning, data science, computer vision, statistics, and mathematics
  • Programming in Python, C/C++
  • Relational (SQL) and no-SQL databases
  • Machine learning algorithms and frameworks
  • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
  • Familiarity with cloud (e.g., AWS, GCP, Azure)

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

The Department of Radiology at Stanford School of Medicine is recruiting a full-time faculty member at the level of Assistant, Associate, or Full Professor to join the Integrative Biomedical Imaging Informatics at Stanford (IBIIS) Division. IBIIS faculty focus on pioneering, translating, teaching and disseminating methods in data science that integrate imaging, clinical, and -omics data to better understand the molecular mechanisms of diseases and to improve the accuracy and efficiency of clinical care. Recognizing that Artificial Intelligence (AI) techniques, which are likely to be a major focus of this effort, require large sets of integrated imaging, clinical, and outcomes data, the Stanford University School of Medicine has developed and made available a research data warehouse, which includes clinical images and linked data from the electronic medical record, to enable discovery of new relationships between imaging findings and clinical, histological, and genomic manifestations of health and disease.
Appointment will be in the University Tenure Line or Non-Tenure Line (Research). The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. The major criterion for appointment for faculty in the Non-Tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists. Faculty rank and line will be determined by the qualifications and experience of the successful candidate.
The new faculty will lead an innovative research program developing, translating, benchmarking, and validating AI and other data science methods to improve the practice of radiology by characterizing, reconstructing, enhancing, segmenting, classifying and/or interpreting medical images, and linking them to other imaging (e.g., pathology, ophthalmology, -omics), clinical, biological and -omics data. Such integration of imaging with other clinical data could one day enable real-time decision support for early detection of disease, more accurate diagnosis, tailored planning of treatment, precise outcome prediction and other capabilities.
The qualified candidate will have a PhD in computer science, engineering, physics, biomedical informatics, data science, imaging science, or another related field, or an MD. We are particularly interested in candidates who have demonstrated expertise in AI, machine learning and other data science approaches that improve the practice of radiology for some or all of the following: (a) detection of disease and classification of patient data in near real-time, (b) reconstruction, de-noising, and/or otherwise enhancing images, (c) analyzing massive data sets containing both images and non-imaging data sources, (d) creating systems that employ image data to assist human decision makers, (e) developing data resources and tools that catalyze discovery, and (f) rigorously validating AI models pre- and post-deployment to ensure high performance and health equity.
The ideal candidate will have completed a postdoctoral fellowship and have (1) significant research experience resulting in high impact publications and success with grant funding (e.g., an NIH K or R grant) or show potential to achieve, (2) experience in developing and translating algorithms and/or methods into practical settings, and (3) the desire to seek translational collaborations with a broad range of investigators pursuing similar research goals inside and outside of Stanford. We seek motivated individuals who are committed not only to excellence in research, but also to mentoring and training the next generation of researchers.
Please apply online by submitting your curriculum vitae and a candidate statement (no longer than 3 pages) describing your research, and teaching activities and interests. The Radiology Department, School of Medicine and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here: .
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.
**Salary Range:**
The expected base pay range for this position is:
Assistant Professor: $185,000 - $03,000
Associate Professor: 218,000 - 242,000
Professor: 266,000 - 366,000
This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits ( , including housing assistance ( , please contact the hiring department.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.
Please reach out to Stanford Radiology Faculty Affairs with any questions at .

Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on methodologies for Generative Artificial Intelligence (GenAI) models. As an Applied Scientist, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI. You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training and post-training workflows and build efficient models. You will support the system architecture and the best practices that enable a quality infrastructure.
Key job responsibilities
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:
- Pre-training and post-training multimodal LLMs
- Scale training, optimization methods, and learning objectives
- Utilize, build, and extend upon industry-leading frameworks
- Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility
- Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances
About the team
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
Preferred Qualifications
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities.
Key job responsibilities
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:
- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research
About the team
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
Preferred Qualifications
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As an Applied Scientist with the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of audio technology.
About the team
While the rapid advancements in Generative AI have captivated global attention, we see these as just the starting point. Our team is dedicated to pushing the boundaries of what's possible, leveraging Amazon's unparalleled ML infrastructure, computing resources, and commitment to responsible AI principles. And Amazon's leadership principle of customer obsession guides our approach, prioritizing our customers' needs and preferences each step of the way.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.