Machine Learning Engineer II Software

Front Door Defense; United States; On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Health Savings Accounts

Generous paid parental leave

Flexible vacation policy

Total Wellness Program

Job summary

May Mobility is looking for a Machine Learning Engineer II. This role involves building scalable ML training pipelines for autonomous driving data, with a focus on improving May's Autonomous Driving stack efficiently. Candidates should have experience in robotics applications and a strong background in C++, Python, and PyTorch.

Based in Ann Arbor, Michigan, this position offers a salary range of $160,000 - $210,000 annually and comprehensive benefits including healthcare and flexible vacation policies.

Qualifications

• Minimum of 2 years building ML-oriented infrastructure or distributed systems in production.
• Experience with containerized ML training workloads, including GPU scheduling.
• Familiarity with ML orchestration and experiment tooling.

Responsibilities

• Architect and operate data and training pipelines across cloud environments.
• Build and maintain distributed training and orchestration tooling.
• Design and maintain the data and metadata stores for training workflows.

Skills

C++

Python

PyTorch

Machine Learning

Linux

Education

Bachelor's or Master's degree in Robotics, Computer Science or a related field

Tools

Ray

Kubeflow

TensorFlow

Job description

Machine Learning Engineer II - Remote Eligible

Build scalable ML training pipelines and deploy them for autonomous driving data

Location: Remote

Compensation: $160,000 - 210,000 USD / year

Job Tags: Software

About The Role

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

Job Summary

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. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.

We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and ML concepts to design and operate pipelines that allow May's Autonomous Driving stack to improve quickly and reliably at scale.

Essential Responsibilities

• Architect and operate data and training pipelines across cloud and cluster environments.
• Build and maintain distributed training and orchestration tooling.
• Design and maintain the data and metadata stores that back our training and evaluation workflows

Skills and Abilities

Success in this role typically requires the following competencies:

• Architect data and model parallelism training infrastructure for large data (>100TB) or large model (>100GB) applications
• 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-as-code (e.g. Terraform).
• Working with relational and object stores, and high-throughput data formats for ML workloads.

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• Bachelor's or Master's degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
• A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
• Proficiency in C++, Python and PyTorch with experience in Linux environments.
• Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)

Desirable

• 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).
• Familiarity with basic Perception and Planning concepts in Autonomous Driving.

Physical Requirements

• Standard office working conditions which includes but is not limited to:
  • Prolonged sitting
  • Prolonged standing
  • Prolonged computer use

Travel required? - Low 5-10%

Benefits and Perks

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• 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

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.

Salary Range

$160,000 - $210,000 USD