Research Scientist/Engineer, Getting LLM's to solve NP-Complete Problems

 

We are hiring for this role to be based our of Mountain View, CA or Boulder, CO.

 

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.

 

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 is specifically for research on the development of technology that will enhance LLM capabilities in solving planning and related problems. The research topics include but are not limited to understanding the theoretical limits of LLMs, the ability of LLMs to compute approximately optimal solutions, and the ability to interpret and respect constraints and preferences.You will have a chance to work with small and large scale problems in the area and work with product teams to launch this to Google users.  The prospective candidate’s role will be a research scientist or research engineer, bringing research ideas and engineering skills to solve a wide range of problems in these areas. The key responsibilities of a candidate include identifying key research problems, proposing solutions, conducting experiments, and implementing codes to advance our project mission.  

Experience in any of these is highly beneficial:

 

We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.

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

• BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

• Proven knowledge and experience of Python or C

• Knowledge of machine learning and statistics 

• Proven experience working with Large Language Models (LLMs)

• Knowledge of algorithm design

• Software Engineering experience and experience working on large-scale ML projects highly desirable 

• Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.

• A passion for Artificial Intelligence

• Great communication skills and proven interpersonal skills

 

In addition, the following would be an advantage:

• Experience in applying experimental ideas to applied problems

• Cross functional collaboration experience, including across timezones

• Prior experience collaborating with researchers

• Prior experience working with product teams

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 or Boulder, CO 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 - $245,000 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.