Google logo

Research Engineering Technical Lead, AlphaEarth, DeepMind

Google

New York, NYJob$207–300K/yrSeen 3 days agoSeen in employer's feed 3 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$207–300K/yr
Location
New York, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Research Engineering Technical Lead will guide engineering workstreams for AlphaEarth, taking projects from proof-of-concept prototypes to production systems. The role involves architecting data pipelines, distributed training infrastructure, and model inference systems, and running experiments with researchers and engineers. The team collaborates across London and New York, with applicants able to share a preferred working location between those cities.

Skills & qualifications

RequiredNice to have

Skills

PythonC++Algorithm DesignMachine LearningTechnical LeadershipSystem ArchitectureLarge-Scale Data PipelinesDistributed SystemsML FrameworksJAXProject DeploymentExecution LeadershipAmbiguity ManagementEarth ObservationRemote SensingEngineering ExcellenceExecution Efficiency

Qualifications

Bachelor's in CS, Mathematics, Applied Stats, or ML or Equivalent8 Years Software DevelopmentEnglish Proficiency

Full job description

Research Engineering Technical Lead, AlphaEarth, DeepMind

Share Research Engineering Technical Lead, AlphaEarth, DeepMind

corporate_fare DeepMind place New York, NY, USA; London, UK

Share Research Engineering Technical Lead, AlphaEarth, DeepMind

info_outline

XNote: 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

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.