As a Senior Machine Learning Engineer, you will Research, design, and develop machine learning algorithms for driverless technology, optimizing models and guiding technical decisions.
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 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:
#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.
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 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.
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
C++
Machine Learning
Opencv
Pcl
Python
PyTorch
Ros
TensorFlow
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