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7 дней назад

Senior ML Engineer (3D Reconstruction)

199 200 - 298 800$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior ML Engineer (3D Reconstruction) (AI/autonomous driving): Building offline 3D reconstruction, lane-line detection, pose-correction, and automated mapping systems from camera, lidar, radar, and GPS/IMU data with an accent on lane-line graph reconstruction, sensor calibration, and high-quality pseudo-labeling. Focus on designing advanced perception models, solving noisy multi-sensor mapping problems, and setting technical direction for scalable ML pipelines.

Location: Remote - US, Ann Arbor, MI

Salary: $199,200–$298,800 annually, plus potential bonus and stock options.

Company

Develops software for automated trucks and autonomous driving in partnership with Daimler.

What you will do

  • Design, implement, and deploy offline 3D reconstruction, lane-line detection, and automated mapping systems using camera, lidar, radar, and GPS/IMU data.
  • Reconstruct topologically correct lane-line networks from noisy and conflicting detections across multiple drives.
  • Develop and train lane-line detection and creation models, including systems for unmapped areas and ongoing map updates.
  • Own pose correction and diagnose calibration, drift, noise, and other sensor errors affecting reconstruction quality.
  • Define architecture, standards, data governance, and quality metrics for lane-line, mapping, pose-estimation, and auto-labeling pipelines.
  • Lead complex projects, make technical decisions across teams, and mentor engineers.

Requirements

  • 6+ years of relevant experience with a bachelor's degree, 3+ years with a master's degree, or 1+ years with a PhD in computer science, robotics, electrical engineering, or a related field.
  • Expertise in lane-line detection and creation, lane-line network reconstruction, map creation, and map updates.
  • Hands-on experience with pose correction and calibration of camera, lidar, radar, and GPS/IMU systems.
  • Advanced computer vision, deep learning, active learning, pseudo-labeling, and model-training experience.
  • Depth in at least two areas including 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, or BEV.
  • Advanced Python development and experience with PyTorch, Lightning, Ray, MLOps tooling, Parquet processing, Docker, CI systems, and cloud or VDI environments.

Nice to have

  • PPK/RTK GPS experience.
  • GIS experience.

Culture & Benefits

  • Collaborative, energetic, and team-focused work environment.
  • 100% company-paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible scheduling and generous paid vacation available immediately after starting.
  • AD&D and life insurance.

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