2 дня назад
Senior ML Engineer - 3D Reconstruction (Autonomous Vehicles)
177 300 - 212 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior ML Engineer - 3D Reconstruction (Autonomous Vehicles): Design and deploy machine learning systems for 3D reconstruction, lane-line annotation, pose estimation, and automated HD map creation from camera, lidar, radar, and GPS/IMU data with an accent on computer vision, sensor fusion, and large-scale data workflows. Focus on building offline perception pipelines, improving auto-labeling quality, scaling MLOps infrastructure, and mentoring engineers.
Location: Remote within the United States or Ann Arbor, Michigan
Salary: $177,300–$212,800 USD annually, plus bonus and stock options.
Company
develops autonomous driving software for automated trucks in partnership with Daimler.
What you will do
- Design, implement, test, and deploy offline 3D reconstruction, lane-line detection, and automated mapping modules.
- Build machine learning pipelines for sensor-data annotation, map creation, pose estimation, localization, and sensor fusion.
- Develop ingestion, preparation, curation, governance, and quality measurement workflows for large multi-modal datasets.
- Establish standards for machine learning models, deployment, analytics, and operational processes.
- Lead projects, align technical solutions across teams, and guide less experienced engineers.
- Evaluate emerging AI and ML advances to improve productivity, quality, and operational reliability.
Requirements
- 6+ years of relevant experience with a bachelor's degree, or 3+ years with a master's degree, in computer science, robotics, electrical engineering, or a related field.
- Experience with lane-line annotation or automatic mapping and familiarity with lane-line detection and mapping models.
- Experience with pose estimation, active learning, pseudo-labeling, computer vision, deep learning, and model training.
- At least two of 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, or BEV.
- Experience with MLOps, ML frameworks, experiment tracking, model registries, MLflow or Weights & Biases, and model evaluation.
- Proficiency in Python, PyTorch or related distributed ML frameworks, Parquet data processing, Docker, CI systems, and cloud or VDI development environments.
Nice to have
- PPK/RTK GPS experience.
- GIS experience.
Culture & Benefits
- Collaborative, energetic, and team-focused working environment.
- 100% company-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible schedule, generous paid vacation available immediately after starting, and company-wide holiday office closures.
- AD&D and life insurance, plus potential relocation and sign-on compensation depending on the position.
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