About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

As part of the GenAI & NLX Research team at Google DeepMind, you'll have opportunities to advance Large Language Models (LLMs) to enable breakthrough capabilities, and pioneer next-generation products in collaboration with major product areas.

Specifically, this position will work on LLM personalization and user intent understanding, including but not limited to:

• Foundational LLM capabilities on using personal / contextual information and on user intent understanding.

• Foundation LLM training recipes including supervised fine-tuning and reinforcement learning, etc.

• LLM reasoning, especially LLM reasoning for personalization and user intent understanding.

• LLM personalization for some of Google’s major AI applications.

Key Responsibilities:

There are many ways you can drive research all the way from ideation, experimentation, to transformative landings:

• Identify impactful research problems, inspired by existing or future real-world needs. Research novel solutions through related work studies, experimentation, and building prototypes and demos.

• Verify the research ideas and apply them to LLM foundational models.

• Work with other research and product teams to deliver the improved LLM capabilities to end users.

  About you

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• Ph.D. in Computer Science or related quantitative field.

In addition, the following would be an advantage:

• Self-directed engineer/research scientist who can drive new research ideas from conception, experimentation, to deployment in a rapidly shifting landscape.

• Strong academic background in machine learning, information retrieval, and natural language processing, including prior publication track record in top research conferences (NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, WSDM, SIGIR, WebConf, RecSys, etc.).

• Outstanding technical leadership and communication skills to lead new research areas and multi-team cross-PA collaborations across geographical boundaries.

• Prior experience with production-scale machine learning projects and systems: JAX, TensorFlow, or similar machine learning platforms.

  What we offer

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates to Mountain View, CA and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $136,000 - $300,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy (https://careers.google.com/privacy-policy/) .