Staff ML Infrastructure Engineer

Job summary

Lead the design and implementation of scalable platforms for machine learning model training and evaluation.

Qualifications

• 5+ years of experience building large-scale distributed systems or advanced ML systems.
• Proven track record of designing robust frameworks with high-quality APIs.
• Deep understanding of machine learning algorithms.
• Expertise in building reliable, high-performance systems on cloud infrastructure.
• End-to-end experience across the ML development lifecycle.
• Strong cross functional collaboration skills.
• Exceptional coding skills in Python or C++.
• Strong interest in autonomous driving.

Responsibilities

• Lead the design, implementation, and deployment of scalable platforms and tools for machine learning model training and evaluation.
• Own complex technical projects end-to-end, making key architectural decisions.
• Take a holistic view of projects, considering their impact across multiple teams.
• Proactively drive technical prioritization.
• Collaborate closely with partner teams for maximum benefit.
• Shape the team through technical interviewing.
• Mentor and onboard junior engineers and interns.

Skills

Degrees

Relocation