Senior MLOps Engineer supporting Elsevier’s research platforms with GenAI expertise. Focusing on ML pipeline automation, model deployment, and collaborative data science solutions.
About the role
- Machine Learning Engineer developing next-generation algorithms for Zoox’s autonomous vehicles. Collaborating on complex driving scenarios to ensure safe navigation in urban environments.
Responsibilities
- Develop machine learning algorithms for Bird’s Eye View scene analysis and real-time hazard detection.
- Design and implement scene understanding solutions specifically for Zoox's unique bidirectional vehicle.
- Lead the end-to-end data strategy—including mining, auto-labeling, and dataset construction—to keep our ML models improving.
- Implement on-vehicle software for model inference and result post-processing that runs reliably in real-time.
- Use our large-scale data pipelines and infra to research, prototype, and deploy changes that directly improve how the vehicle handles complex road scenarios.
- Team up with Perception, Prediction, and Planning teams to integrate your signals into the final driving solution.
Requirements
- BS, MS, or PhD in Computer Science, Robotics, or a related field with 2+ years of industry experience training and deploying ML models.
- Experience with BEV (Bird’s Eye View) models, segmentation, or 3D representations.
- Hands-on experience with the full lifecycle: dataset construction, training frameworks, and building metrics pipelines to evaluate performance.
- A strong mathematical foundation in linear algebra, calculus, and probability.
- Fluency in C++ and Python. Experience with PyTorch, TensorFlow, JAX.
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
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