63 Machine Learning jobs in Minneapolis
MACHINE LEARNING SCIENTIST
Posted today
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Job Description
Best Buy Co. has openings in Richfield, Minnesota, for a Machine Learning Scientist position. This position provides a telecommuting benefit allowing the employee to reside anywhere in the continental United States. Develop machine learning solutions and services leveraging state-of-the-art techniques. Apply software engineering skills to develop and deploy solutions that can scale to millions of requests per second with millisecond latency. Write new functions or applications in programming languages to conduct analyses. Utilize broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy's core machine learning capabilities. Analyze, manipulate, or process large sets of data using statistical software. Build real products that influence and enhance the lives of millions of people and drive and deliver tens of millions of dollars in impact to Best Buy's bottom line. Research, develop, and apply cutting-edge machine learning and artificial intelligence algorithms to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. Contribute to a team developing and operationalizing models, algorithms, and production quality codebases that form the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.
There are multiple positions available. Requires Master's degree or equivalent foreign degree in Mechanical Engineering, Computer Science, Software Engineering, or Electrical & Computer Engineering. Position requires at least 2 years of experience (1) building ML and/or AI driven products; (2) data science/analytics programming languages (Python, R, and/or Julia); (3) supervised and unsupervised learning methods. This experience also includes at least 1 year of experience building production grade ML models using one or more deep learning frameworks (TensorFlow, Keras, PyTorch, MXNet, or ONNX). The pay ranges from $99,029/year to $119,163/year. Best Buy offers standard benefits offered to full-time employees (which include medical, life insurance, 401(k), disability, paid sick leave, paid national holidays, and paid vacation). Best Buy is an equal opportunity employer.
MACHINE LEARNING SCIENTIST
Posted 2 days ago
Job Viewed
Job Description
Best Buy Co. has openings in Richfield, Minnesota, for a Machine Learning Scientist position. This position provides a telecommuting benefit allowing the employee to reside anywhere in the continental United States. Develop machine learning solutions Machine Learning, Scientist, Software Engineer, Customer Experience, Technology, Retail
AI / Machine Learning Engineer
Posted 7 days ago
Job Viewed
Job Description
AI / Machine Learning Engineer page is loaded AI / Machine Learning Engineer Apply remote type Hybrid locations US, Minnesota, Maplewood time type Full time posted on Posted 2 Days Ago job requisition id R01150184 Job Description: AI/Machine Learning Engineer Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Impact You’ll Make in this Role As an AI / Machine Learning Engineer, you will develop technologies in the areas of machine learning, deep learning, artificial intelligence, and/or computer vision that create new opportunities for 3M and will develop digital products and solutions capitalizing on 3M’s unique materials, advanced technologies, and global reach. At 3M, we analyze data, create algorithms, and develop real-world solutions for many businesses and markets, consumer and industrial products, worker safety, transportation, semiconductor, electronics, and many more. In this role, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by: Leveraging expertise to develop and lead new data analytics technologies for product development or manufacturing systems, providing new growth opportunities in addition to supporting existing 3M products and businesses Working with global teams to implement impactful solutions in 3M’s diverse markets Initiate and contribute to the analysis and development of intellectual property, publish internally and externally, and present at appropriate conferences Collaborating with cross-functional research teams in corporate research and in business labs to build capabilities and applications to solve emerging challenges Analyzing data, develop algorithms, and deploy solutions based on real-world data Understand, develop, and guide the establishment of new computational tools and systems. Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Master’s degree or higher (completed and verified prior to start) in a science or engineering discipline Five (5) years experience in Data Science or Data Analytics in a private, public, government or military environment Three (3) years experience developing new technology and/or products in a private, public, government or military environment Additional qualifications that could help you succeed even further in this role include: Ph.D. degree or post-doctoral fellowship in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics, Chemical Engineering, Chemistry, or related discipline from an accredited university Three (3) years technical leadership of a development team Training and/or experience in deep learning, machine learning, computer vision, artificial intelligence, statistics, informatics, VAEs, transformers, diffusion models, optimization algorithms and/or applied mathematics through thesis work, or industry or national lab employment Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++, Java, and/or R) Experienced with Azure and AWS cloud services and data analytics tools Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available Physics or chemistry related domain knowledge informed machine learning and/or scientific machine learning experience Demonstrated scientific excellence as evidenced by publications and presentations Work location: Hybrid Eligible (Job Duties allow for some remote work but require travel to 3M Center at least 3 days per week) Travel: May include Relocation Assistance: May be authorized Supporting Your Well-being 3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $122,292 - $149,468, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: Good Faith Posting Date Range 06/30/2025 To 07/30/2025 Or until filledAll US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.Learn more about 3M’s creative solutions to the world’s problems at or on Instagram, Facebook, and LinkedIn @3M.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Pay & Benefits Overview: 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms. About Us At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews. #J-18808-Ljbffr
Lead Machine Learning Engineer
Posted 25 days ago
Job Viewed
Job Description
Description At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We encourage all applicants to apply directly, and we thank you for your understanding. Overview: Join the global in-house Tech and Data Science team. As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on the website and the mobile app. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Location: Hybrid 1 day/week onsite - Brooklyn Park, MN (must be local to MN) Responsibilities: Lead the design, implementation, and optimization of production machine learning solutions for personalized recommendations on Target.com and the Target App. Ensure best practice software design principles are followed, and contribute to maintaining a clean, well-tested, and well-documented codebase. Participate in code reviews to maintain high standards of quality and consistency across the team. Conduct training sessions and knowledge-sharing activities within the team and organization. Present work to both technical and non-technical stakeholders, effectively communicating complex concepts in a clear, actionable manner. Align machine learning solutions with business priorities and strategic goals, leveraging this understanding to build relevant requirements and solutions. Develop and maintain data pipelines, model optimization processes, and deployment strategies for scalable machine learning solutions. Collaborate with data scientists, software engineers, and product managers to translate business requirements into machine learning solutions at scale. Design and implement automated CI/CD pipelines for model deployment and testing. Work with Big Data technologies such as Kafka and Spark to handle large-scale data processing and analysis. Leverage cloud ML services (e.g., Vertex AI, Azure ML, Sagemaker) for efficient model deployment and scalability. Use distributed training frameworks like Spark, Ray, or TensorFlow Distribute to enhance model performance at scale. Develop and manage serving frameworks (e.g., TorchServe, TensorFlow Serving, FastAPI) for serving machine learning models in production environments. Mentor junior team members, providing guidance on machine learning skills, career development, and growth. Demonstrate strong communication skills, with the ability to tell data-driven stories through visualizations, graphs, and clear narratives. Take ownership of tight project timelines, ensuring that deliverables are met with high-quality results. Collaborate effectively within a global team, ensuring smooth coordination and integration across different regions and time zones. Required Qualifications: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design Highly proficient programming in Python and either PySpark or Scala Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI Good understanding of Big Data tech, specifically Kafka, Spark Experience creating and maintaining CI/CD pipelines for automated model deployment and testing Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Ability to collaborate effectively across global team Experience in mentoring the junior team members ML skillset and career development Preferred Qualifications: PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Proficiency in Java Benefits: York Solutions Offers a generous benefits package for eligible full-time employees: BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) Delta Dental plan with 2 free cleanings and insurance discounts Eye Med Vision with annual check-ups and discounts on lens Life and Accidental Death Insurance paid by company John Hancock 401(k) Retirement Plan with discretionary company match up to 5% Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. Flexible work environment with some remote working opportunities Strong fun and teamwork environment Learning, development, and career growth #J-18808-Ljbffr
Senior Machine Learning Engineer
Posted today
Job Viewed
Job Description
**Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
**Role:** This Role is part of the Data Search and Mining group, the organization is responsible for providing high quality data for our Foundational Drive Model's training and evaluation at scale. We utilized Multi-Modality Model, VLM, MLLM to provide high precision search and mining solutions for AV training and evaluation. This role will play a critical piece on accelerating experiments on cutting edge search capability and SOTA models, then productionize them to company scale. Provide scalable and cost-efficient mining solutions that are able to handle PB-level data. Support key training and evaluation projects across the company.
The specific duties may include Multi-Modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Build and Utilize AI-Agent capability. Support data pipeline orchestration on distributed backend system.
**What You'll Do:**
+ Evaluate and apply SOTA multiple modality machine learning models to search and mining needs
+ Modern ML modeling skills, perform fine-tuning, evaluation
+ Integration with other company level infrastructure such as Data infrastructure, compute platform, labeling, as well as simulation
+ Strong software engineering (SWE) skills, focusing on distributed backend development, batch data processing
+ Support autonomous vehicle (AV) technologies, understand the data challenges in AV or Robotic industry
+ Enthusiastic to experiment and learn the latest AI development
**Additional Job Description**
**Your Skills & Abilities** **:**
+ 4+ years of experience in the field of robotics or latency-sensitive backend services
+ Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch
+ Experience building highly performant ML and system pipelines
+ Strong programming skills in modern C++ or Python
+ Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
+ Passionate about self-driving car technology and its impact on the world
+ Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
+ Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
+ Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.
+ Experience working with Multiple Modality models
**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 $134,000 to $205,000. 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.
**Relocation:** This job may be eligible for relocation benefits.
#LI-MH2
**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 ( 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.
Senior Machine Learning Engineer
Posted 11 days ago
Job Viewed
Job Description
Research, design, develop and test robotic and machine learning applications for driverless technology company. Duties may include: Design and develop vehicle path planning algorithms. Research, implement, evaluate, and deploying deep-learning based methods for planning for autonomous vehicles. Design and develop complex, highly scalable, and latency optimized software. Improve and deliver reliable software through continuous integration, automated testing and code reviews. May telecommute.
**Additional Job Description**
**REQUIREMENTS:** Master's degree or foreign equivalent degree in Mechanical Engineering, Computer Science, Electrical Engineering, Robotics Engineering, or a related field and One year of work experience as a Robotics Engineer, Machine Learning Engineer, Robotics Intern, or a related occupation. Background, education, or experience must include: Optimization and search-based planning & control; Artificial Intelligence and Machine learning; Vehicle Kinematics and Dynamics Modelling; Robotics specific development, debugging, testing and simulation tools (RViz, Gazebo, Unity, ROS, CUDA, Pytorch, or Linux); C++; and Python.
**Compensation:**
+ The expected base compensation for this role is $193,000.00 to $205,000.00 Annually.
+ Actual base compensation within the identified 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.
#LI-DNI
**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 ( 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.
Senior Machine Learning Engineer
Posted 11 days ago
Job Viewed
Job Description
Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Duties may include: Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts to optimize, supervise and refine on-road performance for models in production. Be considered one of the technical leaders of the department who guides current and future technology choices. Consider the business and operational impact for different technology tradeoffs to balance effectively based on the company's need. Enable other engineers on the team to be more effective through design and code that is easy to extend and contribute into. Be capable of influencing others and building consensus even over contentious technical debates. May telecommute.
**Additional Job Description**
**REQUIREMENTS:** Master's degree or foreign equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics Engineering or a related field and Two years of work experience as a Software Engineer, Machine Learning Engineer, or a related occupation.
Background, education, or experience must include:
1. Machine Learning and Classification;
2. Machine Learning Frameworks, including TensorFlow and PyTorch;
3. Mathematical Reasoning and Probability;
4. Programming in C++ or Python;
5. Experience with Robot Operating System (ROS), OpenCV, or PCL;
6. Autonomous Driving Technologies, including Control, Perception, and Planning Systems; and
7. Cross-Team Collaboration.
**Compensation:**
+ The expected base compensation for this role is $134,000 to $234,000 Annually.
+ Actual base compensation within the identified 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.
#LI-DNI
**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 ( 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.
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Sr. Machine Learning Engineer
Posted 11 days ago
Job Viewed
Job Description
Research, design, develop and test robotic and machine learning applications for an AV company. Duties may include: Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. Formulate problem statements specific to autonomous operations and design innovative solutions to address them.
Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and training protocols. Utilize advanced machine learning techniques such as convolutional neural networks and Generative AI to enhance object detection and perception. Work on improving perception properties of detected objects, such as their kinematics,
intent, and short-term trajectory predictions. Develop and implement novel solutions to integrate multiple sensors (e.g., Camera, RADAR, LiDAR) and other contextual information like High Definition Maps and temporal streams of data. Collaborate with the team to ensure the safe and efficient operation of autonomous vehicles. Provide support on debugging real-time issues
on the ride-hail fleet that are due to perception related problems. May telecommute.
**Additional Job Description**
**REQUIREMENTS:** Master's degree or foreign equivalent degree in Data Science, Automotive Engineering, Computer Engineering, Robotics or a related field and Three years of experience working as a Machine Learning Engineer, Computer Vision Engineer, Systems Engineer, Software Engineer, Data Scientist or a related occupation. Background, education, or experience must include:
1. Radar Perception using AI (artificial intelligence);
2. Monocular 3D object detection;
3. Autonomous Vehicle Sensor Fusion;
4. Data Structures and Python, C++, and ROS programming;
5. Machine Learning Model Optimization;
6. Developing Auto-Labeling Techniques;
7. Large-Scale Data Generation and Analytics;
8. Experience with Utilizing Advanced Mathematical Concepts to develop and refine Machine Learning Models.
**Compensation:**
+ The expected base compensation for this role is $168,480 to $254,000 Annually.
+ Actual base compensation within the identified 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.
#LI-DNI
**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 ( 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.
Sr. Machine Learning Engineer
Posted 11 days ago
Job Viewed
Job Description
Develop and implement techniques or analytic applications to transform raw data into meaningful information for driverless technology company. Duties may include: Exploring, prototyping, validating, and iterating new algorithms. Driving efforts to optimize, supervise and refine on-road performance for models on the path to production. Act as a technical leaders within the department who guides current and future technology choices. Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into C. May Telecommute.
**Additional Job Description**
**REQUIREMENTS:** Master's degree or foreign equivalent degree in Computer Vision, Computer Science, AI, Robotics, or a related field. Plus, Three years of work experience as a Senior Machine Learning Engineer II, Behaviors, Machine Learning Engineer, or a related occupation. Background, education, or experience must include: C++ and Python; Pattern recognition and machine learning; Computer Vision and robotics; Parallel computation programming and distributed training; Mathematic skills for robotics, specifically calculus, linear algebra, probability theory; Data Analysis and Feature Engineering; and Generative Modeling.
**Compensation:**
+ The expected base compensation for this role is $158,642.00 to $220,000.00 Annually.
+ Actual base compensation within the identified 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.
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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.
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Software Engineer, Machine Learning
Posted 11 days ago
Job Viewed
Job Description
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
5. Architect efficient and scalable systems that drive complex applications
6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
7. Work on a variety of coding languages and technologies
8. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
11. Demonstrated experience driving change within an organization and leading complex technical projects
12. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
**Preferred Qualifications:**
Preferred Qualifications:
13. Masters degree or PhD in Computer Science or a related technical field
14. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
15. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
17. Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at