ZooxFoster City, CALead and grow a team developing large-scale Reinforcement Learning and ML models for onboard autonomous vehicle behavior and driving plans. Requires MS/PhD, 5+ years production ML experience (3+ in leadership), and expertise in RL/ML for planning, LLMs, or related areas.
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.
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.
Build and own ML/LLM systems for internal operations including forecasting, risk flagging, and document extraction. Ship production agentic systems end-to-end with guardrails and partner with data engineering to integrate predictions into tools.
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.
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.