Senior Machine Learning Engineer II

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Summary

Location

San Francisco (Hybrid)

Salary

$290k-360k/year

Work

Full-time

Experience

3+ years

Key Benefits
Performance Bonus
Remote Option

About this Job

  • Job Description*

  • DUTIES:* 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.

About the Company

General Motors logo

General Motors

Public Company
Automotive ManufacturingTransportation & Autonomous VehiclesRobotics Software & AI

General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html

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