Skip to content
ZooxZooxFoster City, CA

Manager, RL Algorithms & Decoder

Lead a team developing large-scale RL and ML models for autonomous vehicle behavior planning and driving decisions. Requires RL/ML expertise, production ML pipeline experience, and 3+ years in leadership.

277k – 349k
Hybrid5+ YOEML Engineering

About the role

Responsibilities

  • Lead, mentor, and grow a team of individual contributors, fostering innovation and continuous improvement.
  • Develop and organize strategy for Onboard Behavior ML Models to generate driving plans for autonomous vehicles.
  • Interface with partner teams (Onboard Perception, Cost Planner, Simulation, Validation, Data Science, Systems Engineering, QA, ML Infra) to identify model improvement opportunities.
  • Set short- and long-term technical direction for the team and collaborate on company-wide directions.
  • Provide technical guidance and leadership in design and development of large-scale training models, ensuring efficient inference with partner teams.
  • Establish and monitor KPIs to measure effectiveness of work packages and drive continuous improvement.
  • Manage resource allocation, ensuring projects are appropriately staffed with necessary tools and support.

Requirements

  • Expertise with Reinforcement Learning and Machine Learning for at least one of: Planning, LLMs, VLAs/VLMs, recommendation systems.
  • Extensive experience with programming and algorithm design, strong mathematics skills.
  • MS or PhD degree in computer science or related field.
  • 5+ years of experience with production Machine Learning pipelines, with at least 3 years in a leadership or management role.

Nice-to-Haves

  • Conference or Journal publications in Machine Learning or Robotics related venues.
  • Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training.

Skills

Reinforcement LearningMachine LearningPlanningLLMsVlasVlmsRecommendation SystemsPythonAlgorithm DesignMathematicsLarge Scale Training

Similar roles

ML Engineering jobs
Anthropic

TPU Kernel Engineer

AnthropicSan Francisco, CA +2

Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.

280k – 850k
HybridML Engineering
OpenAI

Machine Learning Engineer, Integrity

OpenAISan Francisco, CA

Deploys state-of-the-art ML models and fine-tunes LLMs in production to enhance platform integrity and safety against adversarial threats. Requires Master's/PhD, deep learning expertise, PyTorch/TensorFlow proficiency.

266k – 555k
On-siteML Engineering
OpenAI

Software Engineer, Workload Enablement

OpenAISan Francisco, CA +1

Software Engineer enabling production AI workloads on new hardware platforms through porting, benchmarking, stress testing, and performance optimization. Requires 5+ years in ML systems, distributed training, PyTorch, and RDMA/NCCL expertise.

293k – 455k
Hybrid5+ YOEML Engineering
OpenAI

Research Engineer, Retrieval & Search, Applied Engineering

OpenAISan Francisco, CA

Develop and deploy retrieval and search algorithms for OpenAI's API and ChatGPT, collaborating with research teams on production systems for millions of users. Requires experience with ML systems, vector databases, and large-scale search.

293k – 585k
On-siteML Engineering
OpenAI

Distributed Training Engineer, Sora

OpenAISan Francisco, CA

Distributed Training Engineer optimizes training throughput for video foundation models, enabling researcher experiments with efficient architectures. Requires strong Python skills, distributed systems expertise, and performance profiling.

293k – 490k
HybridML Engineering