Technical Lead, ML Systems & Data Pipelines

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

Job summary

DeepMind seeks a Research Engineering Technical Lead for AlphaEarth in New York and London. You will guide end-to-end technical workstreams, plan milestones, and drive from proofs‑of‑concept to production systems across large data pipelines and ML infrastructure.

You will collaborate with researchers and engineers across NYC and London, delivering scalable solutions while balancing unknowns and ambiguity with forward progress. Equity and growth opportunities are part of the package.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning, or equivalent practical experience.
• 8 years of experience in software development.
• Experience in Python or C++, algorithm design, and machine learning.
• Experience acting as a Technical Lead, guiding system architecture and milestone delivery.

Responsibilities

• Act as Technical Lead, owning technical workstreams end-to-end, planning milestones, and driving execution from proofs-of-concept to production systems.
• Architect, build, and scale large-scale data pipelines, distributed training infrastructure, and low-cost, interactive-speed model inference systems.
• Run experiments and test hypotheses with researchers and engineers to evaluate modeling and systems improvements across the ML life cycle.
• Collaborate with team members across London and New York, adapting as project priorities shift across phases of development.

Skills

Bachelor's degree in CS/Math/Applied/…

8 years experience

Python or C++ / ML

Technical Lead experience

Education

Bachelor's degree in CS/Math/Applied Stats/ML

Tools

JAX

Job description

DeepMind seeks a Research Engineering Technical Lead for AlphaEarth in New York and London. You will guide end-to-end technical workstreams, plan milestones, and drive from proofs‑of‑concept to production systems across large data pipelines and ML infrastructure.

You will collaborate with researchers and engineers across NYC and London, delivering scalable solutions while balancing unknowns and ambiguity with forward progress. Equity and growth opportunities are part of the package.