ML Engineer – App Systems for Autonomous Driving (Hybrid)

Icehouseventures; Detroit (MI); Hybrid; USD 283,500 - 381,600; Full time

Job summary

Icehouseventures is seeking a Machine Learning Engineer to join their team in Detroit. You will lead initiatives in model-based autonomous driving, working on tasks from data pipelines to real-world deployment. Ideal candidates should have extensive experience in deep learning and strong programming skills, with Python and PyTorch being essential.

This full-time role operates in a hybrid environment, offering flexibility and collaboration across teams to drive innovative solutions in achieving safe automated driving.

Qualifications

• Proven track record of shipping deep learning systems to production.
• Experience with robotics and simulation components.
• Ability to lead cross-functional teams.

Responsibilities

• Develop end-to-end driving models with high robustness.
• Lead projects on personalized and collaborative driving.
• Build evaluation pipelines for driving performance.

Skills

Deep learning expertise

Python proficiency

C++ and CUDA knowledge

Real-time systems experience

Leadership abilities

Tools

PyTorch

Job description

Icehouseventures is seeking a Machine Learning Engineer to join their team in Detroit. You will lead initiatives in model-based autonomous driving, working on tasks from data pipelines to real-world deployment. Ideal candidates should have extensive experience in deep learning and strong programming skills, with Python and PyTorch being essential.

This full-time role operates in a hybrid environment, offering flexibility and collaboration across teams to drive innovative solutions in achieving safe automated driving.