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Senior Machine Learning Engineer

Insight Recruitment
Boston, MA Full Time
POSTED ON 2/23/2025
AVAILABLE BEFORE 5/16/2025

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.

    Salary : $200,000 - $260,000

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