Senior ML Training Platform Engineer

Openkrill; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Stack AV is hiring for an ML Platform Engineer in the United States to accelerate autonomous vehicle development. The role focuses on building scalable ML training systems, orchestration, observability and performance optimization across teams of ML engineers.

Candidates should have 6+ years in ML platforms, strong Python/C++ skills and hands-on experience with PyTorch, Lance or Ray Data. This is a full-time position based in the US with equal opportunity principles emphasized.

Qualifications

• 6+ years of experience with ML Platforms and building ML-based applications.
• Strong programming skills in Python, C++ or equivalent.
• Proven track record of building scalable, reliable infra in a fast-paced environment.

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 within the team.

Skills

ML platforms experience

Python programming

C++ programming

Cross-functional collaboration

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Lance

PyTorch

Ray Data

Job description

Stack AV is hiring for an ML Platform Engineer in the United States to accelerate autonomous vehicle development. The role focuses on building scalable ML training systems, orchestration, observability and performance optimization across teams of ML engineers.

Candidates should have 6+ years in ML platforms, strong Python/C++ skills and hands-on experience with PyTorch, Lance or Ray Data. This is a full-time position based in the US with equal opportunity principles emphasized.