Job Description

Lead ML Engineer - Perception | Autonomous Vehicles

Salary - $200-260k

🚀 Join the Future of Autonomous Mobility 🚀

I’m partnered with an extremely well-funded, cutting-edge scale-up in the Autonomous Vehicles space that is redefining the future of mobility. This team is building next-gen self-driving technology that will transform urban transportation, and they’re looking for a Lead ML Engineer to take their perception stack to the next level.

What You’ll Be Doing:

• Shape the future – Define and drive the technical vision for the perception team, influencing the company’s autonomous driving roadmap.
• Develop cutting-edge perception algorithms – Design and implement advanced ML models for object detection, classification, segmentation, and multi-object tracking using sensor data from cameras, LiDAR, and radar .
• Sensor fusion – Integrate multiple sensor modalities to create a robust and reliable perception pipeline.
• Optimize for real-time performance – Adapt and optimize ML models for embedded hardware and real-time applications .
• Deploy at scale – Bring ML models from research to production, deploying them onto an autonomous fleet.
• Mentor and lead – Provide technical leadership and mentorship to junior engineers on the team.

What You Bring:

• MS or PhD in Machine Learning, Computer Science, Robotics, Applied Mathematics, or a related field (or equivalent experience).
• Strong leadership experience in executing complex ML initiatives within autonomous systems or robotics.
• Deep expertise in deep learning and computer vision , with experience in at least one of the following: object detection, segmentation, multi-object tracking, sensor fusion, or end-to-end perception .
• Proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow .
• Track record of developing production-ready perception models in real-world applications.
• Experience optimizing ML models for real-time embedded systems .
• Strong software engineering skills, including code optimization, testing, and deployment best practices .
• Excellent communication skills and a passion for solving complex challenges in autonomy.

Bonus Points:

• Experience deploying ML models on autonomous vehicle platforms .
• Strong C++ and/or CUDA programming skills.
• Research contributions to top ML/AI conferences (CVPR, NeurIPS, ICML, etc.).
• Experience launching ML products from ideation to deployment .

Why Join?

• Work with an elite team of AV and AI experts.
• Be part of a well-funded scale-up with industry-leading backing .
• Tackle real-world autonomous driving challenges with cutting-edge technology.

Competitive salary, stock options, and comprehensive benefits, including:

• Medical, dental, and vision insurance.
• 401(k) with company match.
• Unlimited vacation and company-wide holiday shutdown.
• Health and wellness programs, including fitness reimbursement.
• Mental health support and employee assistance programs.
• Parental leave and family planning assistance.
• Career development resources and internal mobility opportunities.

If you’re passionate about building state-of-the-art perception systems and thrive in a fast-paced, high-impact environment, this is the role for you. Apply today or reach out for a confidential discussion.

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