Research Engineer, Gen Media, DeepMind

Google; United States; On-site; USD 174,000 - 253,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind is seeking a Research Engineer focused on Gen Media to advance large-scale ML research from concept to deployment at Mountain View.

You will collaborate across interdisciplinary teams to design experiments, train models such as diffusion architectures, and present breakthroughs to internal and external audiences, aligning research with product ambitions.

Qualifications

• Bachelor's degree in CS, Math, Stats, ML or equivalent practical experience.
• 5 years of experience with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch).
• 2 years of experience in an applied research setting.

Responsibilities

• Lead ambitious team collaborations, aligning efforts across DeepMind to execute on shared, high-impact research goals.
• Report and present complex research breakthroughs clearly and efficiently. Act as a principal representative of our work internally and externally at global venues.
• Build, lead, and maintain strategic collaborations with key external research labs and leading individuals in the field.

Skills

5 years of experience with TensorFlow

Applied research experience

Education

Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning or equivalent practical experience

Job description

Research Engineer, Gen Media, DeepMind

Location: Mountain View, CA, USA

Minimum qualifications

• Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning or equivalent practical experience.
• 5 years of experience with TensorFlow or similar ML frameworks (e.g., JAX or PyTorch).
• 2 years of experience in an applied research setting.

Preferred qualifications

• Experience with training diffusion models.
• Experience working in industry and on projects from proof-of-concept through to implementation.

About the Job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to set up 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, 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.

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 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 Salary Range: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead ambitious team collaborations, aligning efforts across DeepMind to execute on shared, high-impact research goals.
• Report and present complex research breakthroughs clearly and efficiently. Act as a principal representative of our work internally and externally at global venues.
• Build, lead, and maintain strategic collaborations with key external research labs and leading individuals in the field.

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 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 discretely 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.