Senior or Staff ML Systems Engineer

Responsibilities:

• Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
• Own data pipelines including generation, cleaning, validation, and versioning
• Build and improve experiment tracking, orchestration, and reproducibility tooling

Requirements:

• 5+ years of industry experience building and operating ML systems in production
• Proven track record as a key player in the success of a production-grade ML system end-to-end
• Deep familiarity with training pipelines, serving infrastructure, and experiment management

Bonus Points:

• 7+ years of industry experience
• Familiarity with ML workflows involving optimization, RL, or combinatorial problems
• Experience building infrastructure for small, research-heavy teams