Senior AI/ML Engineer
Core
Build analytical tooling to validate numerical equivalence between optimized and reference neural network models for autonomous vehicle deployment, connecting low-level numerical differences to downstream driving behavior.
Role type
Senior IC machine-learning engineer (model numerics & validation)
Builds
Tooling for sensitivity/robustness analysis, training dynamics observability, and numerical parity validation
Domain
Autonomous driving / Model compression & quantization
Deliverable
production ML models
Required skills
Numerical analysis, Matrix theory, Neural network training dynamics, Adversarial testing, PyTorch, Python, Distributed training observability
Preferred skills
Large-scale training debugging, Quantization/Compiler toolchains, AV/ADAS evaluation pipelines, Model robustness research
Technologies
PyTorch, Python, FSDP, Megatron-LM, DeepSpeed
Responsibilities
Validate optimized implementations against references, Map tensor differences to behavioral disparity, Build sensitivity and robustness analysis tooling, Build training dynamics observability, Ensure metric computation runs cheaply in distributed training
Seniority
Senior, hands-on IC
