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Research Engineer, GenAI, Information Tasks, DeepMind

Google

Cambridge, MAJob$174–252K/yrSeen 2w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$174–252K/yr
Location
Cambridge, MA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The role focuses on building rigorous evaluations, developing modular solutions, and collaborating cross‑functionally to improve large‑scale AI models. It blends research and engineering, requiring strong software development, ML framework expertise, and the ability to drive model quality at Google DeepMind.

Skills & qualifications

RequiredNice to have

Skills

PythonC++PyTorchTensorFlowJAXLarge Language Model OrchestrationModel EvaluationHillclimbingCross‑Functional LeadershipCommunication

Qualifications

Bachelor's Degree in Computer Science or Machine Learning or Related Technical Field or Equivalent Practical Experience3+ Years Software Development Experience in Python or C++Experience With ML Frameworks (PyTorch, TensorFlow, JAX)Master's or PhD in Machine Learning or Computer Science or Related Technical Field2+ Years Designing Benchmark Suites and Advancing Model QualityExperience With Large Language Model Orchestration, Routing, or Multi-Agent WorkflowsEnglish Proficiency

Full job description

Research Engineer, GenAI, Information Tasks, DeepMind

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Minimum qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.

  • 3 years of experience with software development in Python or C++.

  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX), crafting model evaluations and hillclimbing model performance.

Preferred qualifications:

  • Advanced degree (Master's or PhD) in Machine Learning, Computer Science, or a related technical field.

  • 2 years of experience designing benchmark suites and advancing model quality.

  • Experience with Large Language Model (LLM) orchestration, routing, or multi-agent workflows.

  • Strong cross-functional leadership and communication skills to effectively work across engineering, research, and product teams.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

We are a full-stack modeling team. In this role, you will develop rigorous evaluations to motivate directions for model improvements, hillclimb to improve the model itself, and collaborate with product teams to ensure an effective feedback loop as our solutions aim for efficiency at Google scale via techniques like routing, and are adaptable to standalone and multi-agent systems.Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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 varied learning opportunities and 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

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

Responsibilities

  • Build rigorous evaluations to systematically measure model performance across various workloads and drive continuous quality hillclimbing.

  • Develop modular, adaptable solutions that enable seamless integration across multiple Google product areas.

  • Collaborate cross-functionally with Eng, PM, and Data Science partners to translate product requirements and feedback into model quality improvements.

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.

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