Machine Learning Engineer, End-to-end Autonomy Job at Woven in Palo Alto
Woven, Palo Alto, CA, United States
Machine Learning Engineer, End-to-end Autonomy
At Woven by Toyota, we are developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state‑of‑the‑art neural networks, pioneering end‑to‑end architectures, and advancing ML techniques in perception, prediction, and motion planning.
Responsibilities
Support the design and development of ML models or components for end‑to‑end autonomous driving, including data strategy, design, experimentation, evaluation, and deployment.
Navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases.
Write high‑quality code while rigorously conducting Machine Learning experimentation.
Collaborate closely with stakeholders across multiple teams and time zones to define interfaces and requirements for an end‑to‑end stack.
Experience
MS or higher degree in a related field, or equivalent industry experience.
Professional experience with ML frameworks such as PyTorch, Jax, or Tensorflow (PyTorch preferred).
Experience with data sampling and curation pipelines for autonomous driving datasets.
Experience with state‑of‑the‑art architectures for end‑to‑end autonomous driving.
Experience with ML workflows: data sampling and curation, pre‑processing, model training, ablation studies, evaluation, deployment, and inference optimization.
Python and C++ programming experience.
Experience with infrastructure for large‑scale datasets and distributed model training.
Experience working with a modern cloud service (AWS, GCP, Azure, etc.).
Nice to Have
Hands‑on experience with autonomous driving systems.
Experience with model deployment using the NVIDIA stack (e.g., ONNX graphs, TensorRT, profiling).
Familiarity with recent breakthroughs in ML (e.g., foundation models, pre‑training and efficient fine‑tuning, multimodal Transformer architectures).
Knowledge of autonomous driving large‑scale data curation pipelines.
For positions based in Palo Alto, CA, the base pay ranges from $112,000 to $184,000 a year.
Benefits
Excellent health, wellness, dental, and vision coverage.
Family planning and care benefits.
Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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At Woven by Toyota, we are developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state‑of‑the‑art neural networks, pioneering end‑to‑end architectures, and advancing ML techniques in perception, prediction, and motion planning.
Responsibilities
Support the design and development of ML models or components for end‑to‑end autonomous driving, including data strategy, design, experimentation, evaluation, and deployment.
Navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases.
Write high‑quality code while rigorously conducting Machine Learning experimentation.
Collaborate closely with stakeholders across multiple teams and time zones to define interfaces and requirements for an end‑to‑end stack.
Experience
MS or higher degree in a related field, or equivalent industry experience.
Professional experience with ML frameworks such as PyTorch, Jax, or Tensorflow (PyTorch preferred).
Experience with data sampling and curation pipelines for autonomous driving datasets.
Experience with state‑of‑the‑art architectures for end‑to‑end autonomous driving.
Experience with ML workflows: data sampling and curation, pre‑processing, model training, ablation studies, evaluation, deployment, and inference optimization.
Python and C++ programming experience.
Experience with infrastructure for large‑scale datasets and distributed model training.
Experience working with a modern cloud service (AWS, GCP, Azure, etc.).
Nice to Have
Hands‑on experience with autonomous driving systems.
Experience with model deployment using the NVIDIA stack (e.g., ONNX graphs, TensorRT, profiling).
Familiarity with recent breakthroughs in ML (e.g., foundation models, pre‑training and efficient fine‑tuning, multimodal Transformer architectures).
Knowledge of autonomous driving large‑scale data curation pipelines.
For positions based in Palo Alto, CA, the base pay ranges from $112,000 to $184,000 a year.
Benefits
Excellent health, wellness, dental, and vision coverage.
Family planning and care benefits.
Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
#J-18808-Ljbffr