Senior Research Infrastructure Engineer (ML Systems)

Arta Finance is seeking a Senior Research Infrastructure Engineer to design and scale the infrastructure that enables researchers and investment teams to train models, run large-scale experiments, and deploy production trading systems reliably and reproducibly. The ideal candidate will have experience building production-grade distributed systems, designing large-scale data processing or training pipelines, and operating high-compute workloads in cloud-native environments.

Requirements

• 5+ years of experience building production-grade distributed systems or ML infrastructure
• Deep experience designing large-scale data processing or training pipelines
• Strong background in ML systems, not just model development
• Proven ability to take ambiguous research requirements and turn them into scalable platforms
• Strong Python skills and fluency in modern ML ecosystems
• Experience operating high-compute workloads in cloud-native environments
• Comfortable owning complex systems end-to-end
• Strong Plus: Experience building ML platforms at AI startups or research-driven tech companies

Benefits

• Robust health insurance offering for you and your family
• High deductible health plan available with health savings account contribution
• 20 weeks of parental leave
• 17 days PTO annually