Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied ML engineering experience in autonomous systems, robotics, or a related industry.
Scientific understanding of machine learning for 3D BEV space modeling, including the ability to apply state-of-the-art ML research and methods in production environments.
Applied expertise in terrain and surface geometry modeling, multi-camera camera calibration, and sensor projection.
Experience analyzing data distributions and addressing long-tail edge cases.
Mastery of Python and PyTorch, with the ability to transition research-level code to production and deployment-ready standards

Benefits

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

Applicant Tracking System Keywords

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

Hard Skills & Tools

computer vision algorithms3D perception architecturesdata managementmodel deploymentmachine learningterrain modelingsurface geometry modelingmulti-camera calibrationsensor projectionPython

Soft Skills

cross-functional collaborationresearchinnovationleadership

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringMaster’s degree in Computer ScienceMaster’s degree in Software Engineering