ML Training Infrastructure Engineer — Equity

Baseten; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Full medical/dental/vision coverage

Job summary

Baseten is searching for a Software Engineer on the Training Infrastructure team to architect and lead the development of our training platform. You will own scheduling, storage, networking, reliability, and observability of the training stack, enabling researchers to deploy and scale workloads with high performance.

You will design global training schedulers, reinforce learning pipelines, and drive reliability improvements while mentoring junior engineers and shaping the long-term

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Proficiency in Go, with Python experience a plus.
• Deep expertise with Kubernetes in production environments.
• Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers a plus.
• Advanced understanding of distributed systems concepts and performance tuning.
• Proven experience designing observability systems.
• Experience with ML/AI workloads and MLOps platforms highly valued.

Responsibilities

• Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking).
• Partner closely with developers and research engineers to translate complex training requirements into technical solutions.
• Design and architect a global training scheduler.
• Design and architect reinforcement learning systems and continuous learning pipelines.
• Drive long-term improvements to improve reliability of systems and velocity of development.
• Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure.
• Make critical architectural decisions balancing performance with system reliability.
• Lead technical discussions and mentor junior engineers on infrastructure best practices.
• Contribute to long-term technical strategy and infrastructure roadmap.

Skills

Go

Python

Distributed systems

Observability

ML/AI workloads

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

AWS

GCP

Crusoe

DigitalOcean

Nebius

Job description

Baseten is searching for a Software Engineer on the Training Infrastructure team to architect and lead the development of our training platform. You will own scheduling, storage, networking, reliability, and observability of the training stack, enabling researchers to deploy and scale workloads with high performance.

You will design global training schedulers, reinforce learning pipelines, and drive reliability improvements while mentoring junior engineers and shaping the long-term