Research Engineering Technical Lead, AlphaEarth, DeepMind

DeepMind Technologies Limited

Greater London

Híbrido

GBP 156.000 - 227.000

Jornada completa

Hace 3 días
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Descripción de la vacante

DeepMind Technologies Limited is seeking a senior technical lead to guide ML system architecture and end-to-end delivery of complex data pipelines. You will oversee 2-4 engineers, drive milestones, and collaborate with teams across London and New York to advance research into production-scale systems.

Ideal candidates have extensive software development experience, ML expertise, and a proven track record leading multi-disciplinary teams through deployment from concept to production.

Formación

  • Bachelor's degree in CS, Mathematics, Applied Stats, ML or equivalent practical experience.
  • 8 years of experience in software development.
  • Experience in Python or C++, algorithm design, and ML.
  • Experience as Technical Lead guiding architecture and milestones.

Responsabilidades

  • Act as a Technical Lead for 2-4 engineers, owning workstreams end-to-end and delivering milestones.
  • Architect and scale large-scale data pipelines and distributed training infra.
  • Run experiments with researchers to evaluate modeling and systems improvements.

Conocimientos

Python
C++
Algorithms
Machine Learning
Technical Lead
System Architecture
Milestone Delivery

Educación

Bachelor's degree in Computer Science or related field

Herramientas

JAX

Descripción del empleo

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.

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

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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