Senior Machine Learning Engineer II (San Francisco)

Job DescriptionDUTIES: 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.REQUIREMENTS: Master's degree in Data Science, Aerospace Engineering, Automotive Engineering, Computer Engineering, Robotics or a related field and Three (3) years of experience in the job offered, 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 $290,000 to $359,600 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 GMOur 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 UsWe 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 OverviewFrom 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.AccommodationsGeneral 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, emailus or call us at View phone number on apply.placed-app.com. 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.SummaryLocation: San Francisco, California, United States of AmericaType: Full time