Reinforcement Learning ML Engineer - Autonomous Systems

pony.ai; Colorado; On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (Traditional and Roth 401k)

Paid Time Off (Vacation & Public Holidays)

Free Food & Snacks

Job summary

pony.ai is seeking a Machine Learning Engineer in Colorado to develop scalable systems for training generative models that enhance self-driving behavior analysis. The ideal candidate will have advanced degrees in AI or related fields and significant RL experience.

The role includes responsibilities like implementing algorithms, optimizing ML workflows, and collaborating with cross-functional teams, alongside an attractive salary range of $150,000 - $250,000 annually with extensive benefits including health insurance and retirement plans.

Qualifications

• M.S. or Ph.D. in a related field or equivalent experience.
• Hands-on experience with ML in production with a strong RL component.
• Depth in deep learning, sequence modeling, and generative models.

Responsibilities

• Build scalable systems for training large generative models.
• Implement RL-style methods suited for high-fidelity behaviors.
• Ship deep learning solutions that support nuanced analysis.

Skills

Machine Learning

Reinforcement Learning

Deep Learning

Python

Simulation Integration

Education

M.S. or Ph.D. in Computer Science, Machine Learning, AI

Tools

PyTorch

Job description

pony.ai is seeking a Machine Learning Engineer in Colorado to develop scalable systems for training generative models that enhance self-driving behavior analysis. The ideal candidate will have advanced degrees in AI or related fields and significant RL experience.

The role includes responsibilities like implementing algorithms, optimizing ML workflows, and collaborating with cross-functional teams, alongside an attractive salary range of $150,000 - $250,000 annually with extensive benefits including health insurance and retirement plans.