May Mobility
Machine Learning Engineer II - Autonomous Driving Training Infrastructure
Remote, USA · Mid
Sponsorship not specified$160k-$210kDetected 30 days ago
PythonGoRustC++Distributed SystemsCI/CDLinuxMachine LearningPyTorchSparkAirflowRobotics
About the role
- May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation.
- We are seeking ML-Oriented Software Engineers with experience in robotics applications.
Responsibilities
- Architecting and operating containerized/pipelined ML Training workloads, including GPU scheduling/autoscaling, dataloader design and experiment tracking.
- Building and maintaining CI/CD pipelines and infrastructure.
- Own the process to transition Autonomous Driving ML models from concept to commercial scale.
- Domestic partners who have been residing together at least one year are also eligible to participate.
Requirements
- Bachelor's or Master's degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
- Proficiency in C++, Python and PyTorch with experience in Linux environments.
- Familiarity with basic Perception and Planning concepts in Autonomous Driving.
- Proficiency in Go or Rust.
- Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights & Biases.
- Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).
- Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).
- Travel required? - Low 5-10%
- A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
- Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)
Skills
- Architect and operate data, training and evaluation pipelines across cloud and cluster environments.
Compensation
- $160,000 - $210,000 USD
- May Mobility does not accept unsolicited agency resumes.
- Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Benefits
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
- Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
- Rich retirement benefits, including an immediately vested employer safe harbor match.
- Generous paid parental leave as well as a phased return to work.
- Flexible vacation policy in addition to paid company holidays.
- Total Wellness Program providing numerous resources for overall wellbeing
Company info
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This listing is sourced directly from May Mobility's careers page and normalized into a canonical job model.