Senior ML Engineer - Multimodal Data Mining & RL Remote

Motional; Boston (MA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Health savings accounts

Life insurance

Pet insurance

Job summary

Motional is seeking an experienced machine learning engineer in Boston to architect and optimize models for autonomous vehicles. This role focuses on deploying real-time ML models and collaborating with teams on advanced data discoveries.

The ideal candidate has extensive experience in machine learning, particularly in model optimization and reinforcement learning. Candidates should be proficient in Python and familiar with cloud environments such as AWS, GCP, or Azure.

Qualifications

• Minimum 6 years of hands-on experience in ML engineering.
• Experience with model distillation and optimization.
• Proven ability in deploying ML models in cloud environments.

Responsibilities

• Architect and train distilled models for multimodal sensor data.
• Build reinforcement learning-based systems for autonomous driving.
• Collaborate to optimize model deployment for real-time inference.

Skills

Machine learning engineering

Model optimization

Reinforcement learning

Python

ML frameworks (PyTorch, TensorFlow, JAX)

Software engineering fundamentals

Education

BS in Computer Science or equivalent experience

Tools

AWS

GCP

Azure

Job description

Motional is seeking an experienced machine learning engineer in Boston to architect and optimize models for autonomous vehicles. This role focuses on deploying real-time ML models and collaborating with teams on advanced data discoveries.

The ideal candidate has extensive experience in machine learning, particularly in model optimization and reinforcement learning. Candidates should be proficient in Python and familiar with cloud environments such as AWS, GCP, or Azure.