Build, operate, and improve production ML/AI services by combining Python software engineering, container orchestration, CI/CD, and model lifecycle practices to deliver secure, reliable, and maintainable solutions.
ML Infra Engineer
๐ Description
- Build infrastructure to move sensor data reliably and efficiently from vehicles into the ML platform.
- Develop batch-compute pipelines to catalog, explore, and curate raw data into training sets.
- Design and scale distributed ML training on GPU clusters.
- Own performance, observability, efficiency, and security across the pipeline.
- Partner with the ML team to turn workflows into reliable infrastructure that accelerates their work.
๐ ๏ธ Requirements
- Experience building and operating high-availability web services on cloud infrastructure
- Experience with infrastructure-as-code and configuration management tools (we use Terraform and Ansible)
- Experience building and maintaining CI/CD pipelines and managing deployments
- Fluent in security fundamentals including Linux hardening, network security, and cryptographic principles
- Hands-on experience with cluster scheduling systems for running large-scale batch computation
- Comfortable reading, writing, and extending non-trivial code (not just scripting)
- Eligible to work in the United States
- Hands-on experience managing large, high-performance ML training clusters
- Working knowledge of distributed training frameworks and high-performance networking for ML workloads
- Comfort operating as an early team memberโhigh ownership, low ego, fast iteration
โจ Benefits
- Benefits
- Equity compensation
Full job description
About Humble Robotics
Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.
We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered โ but when it falls into place, it's a once-in-a-lifetime adventure.
Progress has never felt so present.
Position Overview
We're looking for an ML infrastructure engineer to help design, build, and scale the foundational systems we need to realize our ambitious vision. You'll work on tooling and infrastructure that supports every stage of the ML training flywheel and be an important voice in the technical and organizational decisions that shape our work. From areas spanning vehicle compute to data collection to dataset curation to large-scale model training and deployment, help us build reliable, performant, and secure infrastructure that every team at Humble Robotics can rely on. It's fun here. We are doing cool stuff.
The ideal candidate is a first-principles thinker who is comfortable being a broad generalist. Work on every layer of the stack to help make the software iteration loop as fast and efficient as possible. We're a small team, and your input, experience, and knowledge will play a critical role in shaping every system we build, operate, and depend on to achieve our mission.
Key Responsibilities
Minimum Qualifications
Preferred Qualifications
Compensation
Additional Information
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.
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