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Senior, ML Engineer (Road & Lane Detection)

Jobgether

$199,200 - $298,800
Dec 17, 2025
FL, US
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Developing machine learning models for road and lane detection in complex environments to optimize autonomous vehicle perception and navigation

Requirements

  • Strong expertise in 3D BEV space modeling, lane and road geometry, multi-camera calibration, and sensor projection
  • Proficiency in Python and PyTorch, with experience translating research code into production-ready systems
  • Hands-on experience with multi-modal sensor data (camera, LiDAR, radar) and data management pipelines
  • Experience deploying and optimizing ML models for embedded and real-time systems
  • Strong analytical, problem-solving, and communication skills, with a track record of mentoring or leading technical teams
  • Preferred: PhD in ML or Data Science, CUDA programming, custom PyTorch operations, publications in top-tier ML/Computer Vision conferences, experience with distributed training and multi-GPU systems

Responsibilities

  • Develop and optimize computer vision algorithms for road and lane detection in monocular and multi-modal contexts
  • Design and implement deep learning models for BEV (bird’s eye view) representations integrated into planning and control pipelines
  • Analyze model performance, data distributions, and edge cases using advanced data science techniques
  • Build efficient pipelines for large-scale data processing, annotation, augmentation, and domain adaptation
  • Deploy and optimize ML models for real-time inference on automotive-grade hardware
  • Collaborate cross-functionally with robotics, software, hardware, product, and operations teams to ensure seamless system integration
  • Mentor junior engineers and contribute to the technical roadmap, staying current with the latest advancements in ML and computer vision

Other

  • Bachelor’s degree with 6+ years or Master’s degree with 3+ years of professional experience in Machine Learning Engineering, Autonomous Vehicles, Robotics, or a related field
  • Strong analytical, problem-solving, and communication skills, with a track record of mentoring or leading technical teams
  • 100% paid medical, dental, and vision coverage
  • 401(k) plan with 6% employer match
  • Flexible schedule and generous paid vacation, plus company-wide holiday closures