Research Scientist, Google Research, AI/ML
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
- 2 years of coding experience.
- Ability to work well in a team and willingness to accept new ideas.
- Proven track record of delivering software engineering systems, with an understanding of existing ML literature.
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.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
The RoboRater team works on utilization LLMs for real-world tasks, both in the space of rating real-world scenarios, performing personalized evaluation, and for simulating users to accurately model real-world preferences, behaviors, and usage.
Our team has many researchers with world-class publications, we build research capabilities that are delivered in products like Search and Ads.
Responsibilities
- Understand and stay current on academic literature on Large Language Model's (LLM) capabilities, and research on autorating (through LLMs, and otherwise), user simulation, and evaluation.
- Understand the current system, and the needs for rating and agentic tasks in the Google context.
- Being able to build and deliver functioning systems to Google products, with the goal to improve the next generation of products, for the user, while keeping in mind Google's serving constraints and systems.
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.