Retail Apparel and Fashion👥 201 employeesEst. 1972
Born in Manhattan in 1972, PONY was founded by Uruguayan-born entrepreneur Roberto Muller. His aim was to revolutionize the sneaker industry by building a brand that simultaneously forged world-beati…
Job Overview
Pony.ai is a global leader in autonomous mobility, pioneering technologies for Robotaxi, Robotruck, and Personally Owned Vehicles (POV) business units. Recognized as one of the most innovative tech companies, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally and is committed to developing the safest autonomous driving capabilities worldwide.
Key Responsibilities
Build scalable systems for training and fine-tuning large generative models for realistic driving behaviors.
Implement and iterate on RL-style methods, including algorithms, reward/preference objectives, and training setups.
Ship deep learning solutions to improve human-led triaging and automate high-volume workflows.
Own production-oriented ML for fleet-scale assessment, including training, optimization, monitoring, and iteration.
Design and evolve data and evaluation systems inspired by RL from human preferences (RLHF).
Partner with teams such as Prediction, Planning, Research, and platform/engineering leads for cross-cutting improvements.
Required Qualifications
M.S. or Ph.D. in Computer Science, Machine Learning, AI, or a related field—or equivalent practical experience.
Hands-on experience building and applying ML in production-grade settings, with a strong RL component.
Depth in deep learning, sequence modeling, and generative models.
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.
Ability to lead ambiguous technical work from problem framing through reliable delivery.
Preferred Qualifications
Background in autonomous vehicles, robotics, or complex simulation environments.
Strong grasp of modern RL and post-training techniques in LLM, dLLM, VLA, and video generations.
Hands-on integration of simulation platforms with ML training and evaluation workflows.
Python fluency and frameworks such as PyTorch.
Experience defining and operating metrics for complex, safety-critical AI systems.
Technical leadership: influencing stakeholders, aligning teams, and raising the bar for evaluation rigor.
Excellent communication—simple explanations of complex trade-offs.
Benefits
Pony.ai provides the following benefits to eligible employees:
