Machine Learning Engineer: Perception and Planning

Duties and Responsibilities

• Develop deep learning models for a variety of autonomy applications (relevant areas: object detection, classification, segmentation, behavior prediction, end-to-end driving).
• Research, design, improve, and implement state-of-the-art ML algorithms and deploy them onto self-driving vehicles and in datacenters.
• Identify or collect the required datasets and implement data processing pipelines.
• Deliver reliable software through continuous integration, automated testing, and code reviews.
• Address the real-world issues encountered during tests or customer deployments.

Qualification and Experience

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent. Advanced Degrees highly preferred.
• Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others).
• Production experience with Deep Learning models (training, fine-tuning, or deployment).
• Excellent software engineering skills in Python or C++.
• Strong analytical skills in linear algebra, geometry, and probability.
• Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.

Extra Credit

• Relevant industry experience with low-latency systems (prior work on self-driving vehicles, autonomy, and/or robotics projects).
• Experience building models from sensor data: lidar, radar, camera.
• Experience with multi-modal models.
• Strong academic track record in any field related to machine learning, as evidenced by top-tier publications.
• Production ML experience with either: Model conversion and optimization for production (ONNX, TensorRT); Model deployment on specialized hardware (e.g. Jetson).
• Ability to lead the ML area as the team grows (for Sr Staff level candidates)