Research Engineer, Gemini Omni Data Infrastructure, DeepMind
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of software development or ML research experience, or education equivalent credit (e.g., internships, student research, pre-graduate working experience).
- Experience conducting research to solve problems in AI or ML.
- Experience in implementing machine learning algorithms or techniques (e.g., basicautomatic differentiation) and in using machine learning frameworks (e.g., Jax, PyTorch, Triton).
- Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
- One or more scientific publication submission(s) for conferences, journals, or public repositories, including publications on machine learning or computational neuroscience.
Preferred qualifications:
- Experience with distributed storage systems, relational databases, and schema or query design (e.g., PostgreSQL, Cloud Spanner, Bigtable, Cassandra, or DynamoDB).
- Experience with large-scale data pipelines and distributed batch or streaming frameworks (e.g., Apache Beam, Spark, Dataflow, Ray, or Flink).
- Prior experience building data infrastructure, pipelines, or tooling within an ML research environment.
- Familiarity with a compiled systems/backend language (such as C++, Rust, Go, or Java) or media codecs (video, audio, image).
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.
Responsibilities
- Write product or system development code.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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.
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.