5 дней назад
ML Engineer II - Simulation Enablement (Autonomous Vehicles)
153 200 - 183 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
ML Engineer II - Simulation Enablement (Autonomous Vehicles): Building and scaling simulation data flows, replay and recompute workflows, model evaluation, and visualization for autonomous truck development with an accent on Python, robotics ML models, and large-scale data pipelines. Focus on integrating perception and behavior models, debugging issues across ingestion, simulation, storage, and metrics, and translating autonomy-team feedback into scalable platform improvements.
Location: Remote in the United States or Canada; the listing also references Ann Arbor, Michigan.
Salary: $153,200–$183,800 USD annually, plus potential bonus and stock options.
Company
develops autonomous-driving software for automated trucks as part of the Daimler family.
What you will do
- Serve as the embedded point of contact between the Dataloop + Simulation division and one or two Autonomy teams.
- Implement end-to-end data flows from data operations through simulation environments to persistent storage at scale.
- Onboard autonomy models to replay, recompute, and metric-evaluation workflows.
- Drive adoption of visualization tools and translate UI/UX feedback into product improvements.
- Debug full-stack issues across data ingestion, simulation execution, storage, and metrics.
- Document workflows, onboard users, and convert engineering feedback into product-roadmap requirements.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with 4+ years of relevant experience, or a master’s degree with 2+ years of experience.
- Strong Python skills and experience building or operating data pipelines at scale.
- Experience with simulation, replay, or model validation.
- Familiarity with autonomy or robotics ML models, including perception, tracking, prediction, or planning.
- Comfort working with cloud storage and compute, plus strong cross-team communication and hands-on debugging skills.
Nice to have
- Forward-deployed engineering, solutions engineering, or embedded platform experience.
- Experience with Camera, Lidar, Vehicle Intent, or Object Tracking models.
- Familiarity with Foxglove, OpenGL, Three.js, MCAP, Parquet, PyArrow, Daft, or Pandas.
- Experience with Ray, Anyscale, AWS HyperPods, Terraform, or GitHub Actions.
Culture & Benefits
- Collaborative, energetic, and team-focused work environment.
- Competitive compensation with bonus and stock options.
- 100% employer-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible scheduling, generous paid vacation available immediately, and company-wide holiday closures.
- AD&D and life insurance.
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