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Lead a team of 2-4 engineers building machine learning systems for earth observation, owning technical workstreams from prototype to production. Design and scale data pipelines, distributed training infrastructure, and low-latency inference systems while running experiments with researchers. Requires a Bachelor's in Computer Science, Mathematics, Applied Stats, Machine Learning, or equivalent experience, plus 8 years in software development with proficiency in Python or C++, algorithm design, and prior technical leadership. Based in London or New York.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.

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.
  • 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.
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Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Research Engineering Technical Lead, AlphaEarth, DeepMind
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States or United Kingdom
Check my match (free)
Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

Job Overview

Approx. salary range

177K – 225K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 21 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States or United Kingdom Several countries — check the posting.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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