Research Engineering Technical Lead, AlphaEarth, DeepMind

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

Research Engineering Technical Lead, AlphaEarth, DeepMind

Share Research Engineering Technical Lead, AlphaEarth, DeepMind

DeepMind New York, NY, USA ; London, UK

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; London, UK.

• 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.

Preferred qualifications:

• Experience with large-scale data pipelines, distributed systems, and ML frameworks (e.g. JAX).
• Experience working on deployed projects from proof-of-concept through to implementation.
• Experience driving execution across a 5-10 person engineering/research team. Ability to balance unknowns and ambiguity with forward progress.
• Expertise in earth observation, remote sensing, or related fields.
• Demonstrated engineering excellence and execution efficiency.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

• Act as a Technical Lead for 2-4 engineers, owning technical workstreams end-to-end, planning milestones, and driving execution from proof-of-concept prototypes 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 machine learning life cycle.
• Collaborate with team members across London and New York, adapting as project priorities shift across phases of development.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.