May Mobility
Machine Learning Engineer II - Autonomous Driving Training Infrastructure
Remote, USA (Remote)From $210kmidAdded 1 month ago
About this role
May Mobility is looking for a Machine Learning Engineer II to enhance their autonomous driving systems. This role involves developing infrastructure for ML models and ensuring seamless operations within their innovative transportation technology.
What you'll do
- Transition ML models from concept to commercial scale
- Architect and manage data and training pipelines
- Design and maintain data stores for training workflows
What they're looking for
- Experience with data and model parallelism techniques
- Containerized ML training workload management
- Building and maintaining CI/CD pipelines
- Proficiency in C++, Python, and PyTorch
- Knowledge of Machine Learning concepts
- Familiarity with perception and planning in autonomous driving
- Experience with distributed training frameworks
Benefits
- Remote working opportunity
- Innovative work environment
- Opportunity to impact transportation technology
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May Mobility
May Mobility develops autonomous vehicle technology for urban transportation. The company is hiring for engineering roles including systems engineers, robotics engineers, machine learning engineers, and release engineers to advance autonomous driving capabilities.
- Website
- maymobility.com
Likely interview questions
- Walk us through your experience designing and operating ML training pipelines at scale. What was the largest dataset or model you've worked with, and what challenges did you encounter?
- Describe your experience with distributed training frameworks like PyTorch DDP or FSDP. How have you handled data and model parallelism for large-scale training?