Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
General Motors is seeking a Senior Machine Learning Engineer to join their Smart Agents group, which is responsible for developing ML models and systems to simulate road users for autonomous vehicle training. This role combines cutting-edge machine learning with practical autonomous vehicle applications, focusing on creating realistic interactions between AI-driven agents and autonomous vehicles in simulation environments.
The position offers a competitive salary range of $134,000 to $205,000, along with comprehensive benefits including healthcare, retirement plans, and performance-based bonuses. While the role is primarily remote, candidates living near Atlanta, Austin, Detroit, Warren, Milford, or Mountain View are expected to work from the office three times per week.
The ideal candidate will have 4+ years of experience in robotics or latency-sensitive backend services, with strong expertise in machine learning, reinforcement learning, and software engineering. You'll work with technologies including Generative AI models (GPT) and Reinforcement Learning (RL) policies, while collaborating closely with Simulation, Behaviors, Perception, and Safety Engineering teams.
This is an opportunity to directly impact the future of autonomous driving technology at one of the world's leading automotive companies. The role combines technical depth in ML/RL model development with broader system design responsibilities, requiring both specialized expertise and the ability to work across multiple systems. You'll be responsible for everything from training loop development to production deployment, making this an ideal position for someone passionate about applying ML to real-world autonomous vehicle challenges.
GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion demonstrates their commitment to transformative technology and sustainable transportation. The company offers a collaborative work environment, comprehensive benefits, and the chance to work on cutting-edge technology that will shape the future of transportation.
Responsibilities For Senior Machine Learning Engineer
- Develop machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization
- Streamline integration and create ML infrastructure, metrics, and data pipelines
- Contribute as a full-stack Machine Learning Engineer with strong software engineering skills
- Support ML team in accelerating project timelines for Autopilot, Lane Keep, and autonomous vehicle technologies
Requirements For Senior Machine Learning Engineer
- 4+ years of experience in robotics or latency-sensitive backend services
- Experience in machine learning and classification with frameworks like Tensorflow or PyTorch
- Experience building highly performant ML and system pipelines
- Strong programming skills in modern C++ or Python
- Experience with profiling CPU/GPU software, process scheduling, and prioritization
- Expertise in designing scalable, efficient, fault-tolerant architectures
- Track record in deploying perception/prediction/av models into real world environments
- Experience working with RL and sequence prediction models
Benefits For Senior Machine Learning Engineer
- Health and wellbeing benefit programs
- 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
- Bonus potential based on company and individual performance
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