Senior Staff Research Scientist, Recommendation Systems, DeepMind

Google Inc.; Mountain View (CA); Hybrid; USD 262,000 - 364,000; Full time

Job summary

Google DeepMind in Mountain View seeks a Senior Staff Research Scientist to lead recommendation systems research and deploy impactful AI solutions at scale. The role emphasizes developing new architectures and experiments, applying cutting-edge theories to real-world problems across ML, data mining, NLP, and hardware-software performance.

Strong cross-functional collaboration is essential. Ideal candidates hold a PhD or equivalent practical experience, 5+ years in ML, and a track record of

Qualifications

• PhD in a related technical field or equivalent experience.
• 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), AI, deep learning or NLP.

Responsibilities

• Set up large-scale tests and deploy promising ideas quickly and broadly.
• Manage deadlines and deliverables while applying the latest theories to develop new products, processes, or technologies.
• Design experiments, prototype implementations, and architect new systems for real-world problems.

Skills

Machine learning experience

TensorFlow

Education

PhD in related technical field or equivalent

Tools

TensorFlow

Job description

Senior Staff Research Scientist, Recommendation Systems, DeepMind

Share Senior Staff Research Scientist, Recommendation Systems, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Information Technology, a related technical field, or equivalent practical experience.
• 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.

Preferred qualifications:

• Track record of publications in AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

• Use software engineering skills to complement the research background.
• Build recommender/search systems or successfully deploy novel deep learning algorithms at industrial scale.
• Demonstrate expertise in LLM post-training algorithms and infra, with proficiency in JAX.
• Drive cross-functional projects and collaborate effectively across organizational boundaries with strong communication skills.

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.

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.