Research Engineer, GenAI, Info Task, DeepMind

Google Inc.; Cambridge (MA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in Cambridge, MA is seeking a Research Engineer focused on GenAI and information tasks. You will design experiments, implement model evaluations, and drive improvements that scale across Google products.

You will work with PyTorch, TensorFlow, and JAX while collaborating with engineers, researchers, and product teams to deliver high-quality AI systems.

Qualifications

• Bachelors in computer science, ML or related field or equivalent experience.
• 3 years of software development experience in Python or C++.
• Experience with ML frameworks and evaluating models.

Responsibilities

• Design rigorous evaluations to measure model performance.
• Develop hillclimbing approaches to improve models.
• Collaborate with Eng, Research and Product teams to translate requirements into model quality improvements.

Skills

BS in CS/ML

Python/C++

ML frameworks

Education

Bachelor's degree in CS/ML related field

Tools

PyTorch

TensorFlow

JAX

Job description

Research Engineer, GenAI, Info Task, DeepMind

Share Research Engineer, GenAI, Info Task, DeepMind

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• 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 about benefits at Google .

• 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.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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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.