- New York, NY
- Full-Time
- <72 Hours
Research Engineering Technical Lead, AlphaEarth, DeepMind.
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Research Engineering Technical Lead, AlphaEarth, DeepMind: our view in 3 lines...
- The Role:This role leads research engineering work on large-scale machine learning systems at DeepMind.
- The Person:The person will own technical workstreams end to end, plan milestones, build and scale data pipelines and distributed training infrastructure, and run experiments with researchers and engineers.
- Requirements:The ideal candidate has a bachelor’s degree in Computer Science, Mathematics, Applied Stats or Machine Learning, plus 8 years of software development experience, Python or C++, algorithm design, and machine learning.
About the role
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.
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.