Develop and implement machine learning algorithms for driverless technology. Optimize model performance and guide technology choices as a technical leader.
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 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:
#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.
Total Rewards | 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 [email protected] or call us at 800-865-7580. 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.
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 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.
#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.
Total Rewards | 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 [email protected] or call us at 800-865-7580. 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.
Top Skills
AI
C++
Computer Vision
Python
Robotics
Similar Jobs at General Motors
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and test robotic and machine learning applications for autonomous vehicles, including design of algorithms and software optimization.
Top Skills:
C++CudaGazeboLinuxPythonPyTorchRosRvizUnity
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and test machine learning applications for autonomous vehicles, focusing on data processing, model design, and sensor fusion integration.
Top Skills:
AIC++Convolutional Neural NetworksData StructuresDeep LearningPythonRos
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As a Senior Machine Learning Engineer, you will Research, design, and develop machine learning algorithms for driverless technology, optimizing models and guiding technical decisions.
Top Skills:
C++Machine LearningOpencvPclPythonPyTorchRosTensorFlow
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
