Staff Research Engineer, Applied AI, DeepMind

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google seeks a Staff Research Engineer, Applied AI to lead development and deployment of novel AI-powered solutions, integrating DeepMind foundation models with production-ready pipelines at scale in Mountain View. You will ship features quickly while maintaining rigorous research standards.

You will collaborate across teams, curate datasets, tune models, and communicate designs to non-technical partners, translating research breakthroughs into real-world products that impact users and customers

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 8 years of software development experience including system design, data structures and algorithms.
• 5 years of experience building, training and deploying ML models into production.

Responsibilities

• Partner with cross-functional teams to define product objectives and technical designs.
• Curate datasets, design evaluations, and perform model fine-tuning for real-world performance.
• Lead engineering of novel solutions from 0 to 1 using internal platforms and DeepMind foundation models.
• Synthesize learnings from partners to inform future frontier models development.
• Set best practices for generative AI deployment and demonstrate capabilities end-to-end.

Skills

Software development experience

System design and algorithms

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

Job description

Staff Research Engineer, Applied AI, DeepMind

Location: Mountain View, CA, USA

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 years of software development experience, including system design, data structures, and algorithms.
• 5 years of experience building, training, and deploying machine learning models into production environments.

Preferred qualifications

• Experience working with Generative AI/LLMs, specifically in model fine-tuning, custom dataset curation, and designing evaluation pipelines.
• Proven experience architecting, prototyping, and shipping complex ML systems from the ground up, with a deep understanding of machine learning and deep learning (e.g., Transformers, Diffusion, LLMs).
• Good communication skills with a proven ability to engage with cross-functional teams, and take ambiguous, open-ended real-world problems and translate them into clear technical designs and product scope.

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 seeking a Staff Research Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google's generative AI models. In this role, you will rapidly develop new features, and work across partner teams to deliver solutions, and maximize impact for Google and top customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest-generation models. You will build and ship AI-powered software, ideally with experience in early-stage environments where you have contributed to scaling products from initial concept to production. You will be motivated by the opportunity to drive product and business impact.

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 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 about benefits at Google.

Responsibilities

• Partner closely with multiple external parties and internal cross-functional teams to navigate ambiguity, deeply understand real-world issues, and define clear product objectives and technical designs.
• Drive the curation of specialized datasets, design evaluations across industry verticals, and execute model fine-tuning to achieve optimal real-world performance.
• Lead the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build sophisticated agents and workflows powered by DeepMind foundation models.
• Synthesize and upstream learnings from third-party partners to our core research teams, by sharing real-world evaluations, edge cases, and deployment signals, which can inform the development of future frontier models.
• Act as a technical leader in the applied AI space, setting best practices for generative AI deployment and demonstrating the peak capabilities of frontier models in solving high-impact problems end-to-end.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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.

Locations

Mountain View, CA, USA