2 months ago
Base Salary
$235k - $352k/yr
Responsibilities
- Lead machine learning initiatives across the autonomy stack from ambiguous problem framing and technical direction through on-road deployment.
- Design, train, and productionize state-of-the-art models for foundation and world modeling, LLM/VLM reasoning, reinforcement and imitation learning, generative and diffusion modeling, and transformer-based prediction and planning.
- Build behavior and planning models that generalize across new U.S. and global geographies and vehicle platforms.
- Partner with Perception, Simulation & Evaluation, ML Infra & Data, Autonomy, and Research teams on shared technical initiatives.
- Own the model lifecycle spanning data, training, onboard inference, open-loop and closed-loop evaluation, and continuous on-road iteration.
- Mentor engineers and researchers, raise the team’s technical bar, and shape roadmap and technical strategy.
Requirements
- 7+ years of experience building and deploying machine learning systems and leading complex, multi-team technical initiatives.
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field, or equivalent practical experience.
- Strong general machine learning foundations, including model architectures, training, evaluation, and depth in areas such as sequential decision-making, prediction, generative modeling, foundation/world models, or representation learning.
- Understanding of the full ML development cycle, including data collection, training, deployment, onboard inference, and data iteration loops.
- Strong programming skills in Python, which is required, and/or C++.
- Ability to lead initiatives, collaborate across teams, work independently with minimal oversight, and communicate clearly with cross-functional stakeholders.
- Prior autonomous vehicle or robotics experience and familiarity with complete autonomy/planning stacks are preferred.
- Experience mentoring engineers or leading a team is preferred.
- Familiarity with at least one major ML framework, such as PyTorch, JAX, or TensorFlow, is preferred.
- Research contributions to venues such as NeurIPS, ICLR, ICML, CVPR, RSS, or CoRL are a plus; applied and production impact is valued.
Benefits
- Annual performance bonus, equity, and a competitive benefits package are available.
- The role involves deploying models to real autonomous vehicles and collaborating across autonomy and research teams.
Categories
ML EngineeringRobotics
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.