Research Engineering Technical Lead, AlphaEarth, DeepMind
Google DeepMind applies AI to scientific and planetary challenges from its London headquarters. They're hiring a Research Engineering Technical Lead for AlphaEarth to lead engineering on its Earth observation modelling work, based in London on a hybrid basis. This AI engineering role sits within the UK's AI for science sector.
Minimum 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.
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.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- 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.
About DeepMind
Google DeepMind is an AI research laboratory focused on building artificial general intelligence. Founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman, the company was acquired by Google in 2014 for approximately $660M. DeepMind pioneered breakthroughs including AlphaGo, the first program to defeat a world champion at Go, and AlphaFold, which solved the 50-year-old protein folding problem and has been used by over two million researchers worldwide. The lab remains headquartered in London with a large UK engineering presence and continues to push the boundaries of reinforcement learning, large language models, and scientific AI.