Remote Staff ML Engineer for AV Simulation & RL

General Motors; United States; Hybrid; USD 134,000 - 235,900; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement savings plan

Employee assistance program

GM vehicle discounts

Job summary

General Motors is seeking an experienced professional for a remote role focused on building ML models and systems for autonomous vehicle testing. Candidates must have a strong background in machine learning, particularly in robotics, with expertise in programming languages like C++ or Python.

In this position, you will develop and optimize ML/RL models, streamline integrations, and contribute to project timelines for advanced driving technologies. The salary range is $134,000 to $235,900, with comprehensive benefits available.

Qualifications

• 4+ years of experience in robotics or latency-sensitive backend services.
• Strong programming skills in modern C++ or Python.
• Proven experience in machine learning and classification.

Responsibilities

• Develop ML and RL models, including training loop development and optimization.
• Create ML infrastructure, metrics, and data pipelines for production deployment.
• Contribute to project timelines related to autonomous vehicle technologies.

Skills

Robotics experience

Machine learning and classification

TensorFlow or PyTorch

C++ or Python programming

Profiling CPU/GPU software

Designing scalable architectures

Experience with RL and sequence prediction

Job description

General Motors is seeking an experienced professional for a remote role focused on building ML models and systems for autonomous vehicle testing. Candidates must have a strong background in machine learning, particularly in robotics, with expertise in programming languages like C++ or Python.

In this position, you will develop and optimize ML/RL models, streamline integrations, and contribute to project timelines for advanced driving technologies. The salary range is $134,000 to $235,900, with comprehensive benefits available.