Staff ML Training Platform Engineer — High-Perf Infra

Stack AV Co; Oregon; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Stack AV is seeking a Staff ML Platform Engineer to design a high‑performance, multi‑tenant training platform powering autonomous systems. You will drive end‑to‑end ML pipelines—from dataset curation to model training and deployment—while collaborating across ML Platform, Infrastructure, Autonomy and Safety Evaluation teams.

You will balance hands‑on coding with technical leadership, evangelize best practices, and help accelerate Stack’s AV development velocity in a fast‑paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of experience with ML Platforms and building ML-based applications.
• Strong programming skills in Python.
• Prior experience with Lance, PyTorch, Ray or equivalent technologies.
• Proven track record of building scalable, reliable infra in a fast-paced environment while working with MLEs across multiple modeling teams.

Responsibilities

• Design & evolve high‑performance training platform components including orchestration, training abstractions, control plane, observability and performance tuning
• Deliver end‑to‑end ML model pipelines across logs processing, feature extraction, dataset schema design/storage, model configuration management, model training, and profiling/acceleration workflows
• Analyze training infrastructure performance to identify and resolve performance bottlenecks
• Evangelize system abstractions and tooling that enable MLEs to rapidly iterate on models
• Incorporate OSS tools to enable ML engineers self‑sufficiently profile and optimize their workflows
• Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team

Skills

Python programming

ML Platform experience

Distributed systems

Cross-functional collaboration

Education

Bachelor's or Master's in Computer Science or related field

Tools

Lance

PyTorch

Ray

Job description

Stack AV is seeking a Staff ML Platform Engineer to design a high‑performance, multi‑tenant training platform powering autonomous systems. You will drive end‑to‑end ML pipelines—from dataset curation to model training and deployment—while collaborating across ML Platform, Infrastructure, Autonomy and Safety Evaluation teams.

You will balance hands‑on coding with technical leadership, evangelize best practices, and help accelerate Stack’s AV development velocity in a fast‑paced environment.