Hybrid Senior Machine Learning Engineer, Behavior Planning & Prediction

Posted last month

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About the role

  • Design and develop advanced machine learning models in the behavior space, specifically tailored for autonomous vehicles, utilizing deep learning and large-scale data analysis.
  • Deploy scalable and efficient ML models on our autonomous vehicle platform.
  • Integrate modern technologies with rigorous safety standards while maintaining cost efficiency.
  • Oversee the development of new ML models end-to-end, from data strategy and initial development to optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
  • Lead large, multi-person projects and significantly influence the overall motion planning architecture and technical direction.
  • Enable and support other engineers by coaching, leading by example, and providing high-quality code and design document reviews, as well as delivering rigorous reports from ML experiments.
  • Contribute significantly to the development of essential components for end-to-end ML training and deployment, from data strategy to optimization and validation.
  • Be a champion of the scientific method and critical thinking to invent state-of-the-art deep learning solutions.
  • Work in a high-velocity environment and employ agile development practices.
  • Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.

Requirements

  • MS or PhD in Machine Learning, Computer Science, Robotics, or related quantitative fields, or equivalent industry experience.
  • 3+ years of experience with Python, major deep learning frameworks, and software engineering best practices.
  • Comfortable writing C++ code for integration with our autonomous vehicle platform.
  • 3+ years of experience with deep learning approaches, such as supervised/unsupervised learning, transfer learning, multi-task learning, and deep reinforcement learning.
  • Extensive experience with learning-based planning approaches, including imitation learning, reinforcement learning, and state-of-the-art techniques for sequential modeling, such as Transformer architectures.
  • 3+ years of experience covering machine learning workflows, data sampling and curation, preprocessing, model training, ablation studies, evaluation, deployment, and inference optimization.
  • Passion for self-driving car technology and its potential to impact humanity.
  • Strong communication skills with the ability to articulate concepts clearly and precisely.

Benefits

  • Excellent health, wellness, dental and vision coverage
  • A rewarding pension
  • Flexible vacation policy
  • Family planning and care benefits

Job title

Senior Machine Learning Engineer, Behavior Planning & Prediction

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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