Pony.ai in Fremont, California is seeking a Machine Learning Engineer to build scalable systems for training large generative models in autonomous mobility. Candidates should have a M.S. or Ph.D. in relevant fields, with 3+ years of experience in production-grade machine learning systems. The position offers a competitive salary between $150,000 and $250,000 annually, along with comprehensive benefits like retirement plans, life insurance, and paid time off.
Qualifications
3+ years of hands-on experience building and applying ML in production-grade settings.
Demonstrated impact via strong publications or a clear history of shipping impactful ML systems end-to-end.
Experience with large-scale distributed training and large-scale data processing.
Responsibilities
Build scalable systems for training and fine-tuning large generative models.
Implement RL-style methods suited to high-fidelity behaviors.
Ship deep learning solutions that automate workflows and support analysis.
Skills
Machine Learning
Deep Learning
Reinforcement Learning
Python
Education
M.S. or Ph.D. in Computer Science, Machine Learning, AI
Tools
PyTorch
Job description
Pony.ai in Fremont, California is seeking a Machine Learning Engineer to build scalable systems for training large generative models in autonomous mobility. Candidates should have a M.S. or Ph.D. in relevant fields, with 3+ years of experience in production-grade machine learning systems. The position offers a competitive salary between $150,000 and $250,000 annually, along with comprehensive benefits like retirement plans, life insurance, and paid time off.