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.

Requirements

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

deep learningmachine learningcomputer visiondata processing pipelinesPythonC++linear algebrageometryprobabilitymodel deployment

Soft Skills

analytical skillsproblem-solvingcommunication

Certifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Mechanical EngineeringBachelor’s Degree in Electrical EngineeringAdvanced Degrees