ML Systems Research Lead — Distributed Pipelines & Impact

Google; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google (DeepMind) is seeking a Research Engineering Technical Lead to guide architecture, data pipelines, and distributed ML systems in a dynamic, multi-location environment. The role partners with researchers to push production-ready AI systems from concept to deployment.

Ideal candidates bring 8+ years of software experience and a track record of leading milestones, with expertise in Python/C++, ML frameworks (e.g., JAX) and distributed infrastructure.

Qualifications

• Bachelor's degree and 8+ years of software development experience.
• Proficiency in Python or C++, algorithm design, and machine learning.
• Experience as a Technical Lead guiding architecture and milestone delivery.

Responsibilities

• Lead technical workstreams for 2-4 engineers end-to-end, planning milestones.
• Architect and scale large-scale data pipelines and training infrastructure.
• Run experiments with researchers to validate modeling and systems improvements.
• Collaborate with teams across London and New York as priorities shift.

Skills

Python

C++

ML

Algorithm design

System architecture

Technical lead

Milestone delivery

Education

Bachelor’s degree in CS, Math, Applied Stats, ML, or equivalent

Tools

JAX

Job description

Google (DeepMind) is seeking a Research Engineering Technical Lead to guide architecture, data pipelines, and distributed ML systems in a dynamic, multi-location environment. The role partners with researchers to push production-ready AI systems from concept to deployment.

Ideal candidates bring 8+ years of software experience and a track record of leading milestones, with expertise in Python/C++, ML frameworks (e.g., JAX) and distributed infrastructure.