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- Tasks: Drive research to enhance AI factuality and collaborate with diverse teams.
- Company: Join Google, a leader in innovative technology and AI.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on the future of AI and factual accuracy.
- Qualifications: PhD in Computer Science or related field, plus research experience.
- Other info: Work in a dynamic environment with a focus on cutting-edge AI advancements.
The predicted salary is between 36000 - 60000 £ per year.
Minimum qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience leading a research agenda.
Experience in Python, JavaScript, R, Java, or C++.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications
Experience with Large Language Models (LLM) training and generative models.
Experience in software engineering for machine learning.
Publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM).
About the jobAs a Research Scientist on this team, you will play a critical role in measuring and enhancing the factuality of Gemini. You will collaborate extensively with numerous research and engineering teams to drive foundational improvements. You will also require a unique blend of theoretical research and applied science to solve one of the most critical issues in Artificial Intelligence (AI) today.
Responsibilities
Drive research efforts to improve frontier Gemini capabilities, such as factuality.
Review the latest literature to guide research and experimental directions.
Curate and generate data to evaluate and improve Gemini capabilities.
Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as factuality.
Collaborate with partners and product functions to deliver new model capabilities to production.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Research Scientist, Factuality employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Factuality
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and research. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to factuality and AI. We can help you with mock interviews to boost your confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Research Scientist, Factuality
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Scientist role. Highlight your research agenda, publications, and any relevant programming languages you've used. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about factuality in AI and how your background makes you a perfect fit for the Gemini team. Let us know what excites you about this opportunity!
Showcase Your Research Experience: Since this role involves leading research efforts, be sure to detail your previous research projects and any publications. We love seeing how you've contributed to the field and what innovative ideas you can bring to the table.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your materials and ensure they get to the right people. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Google
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant literature. Be prepared to discuss how your work aligns with the goals of the Gemini Factuality team, and think about how you can contribute to improving factual accuracy in AI models.
✨Showcase Your Technical Skills
Brush up on your programming skills, especially in Python, JavaScript, R, Java, or C++. Be ready to demonstrate your experience with these languages during the interview, as they are crucial for the role. Consider preparing a small coding challenge or discussing past projects where you applied these skills.
✨Prepare for Collaborative Questions
Since collaboration is key in this role, think of examples from your past experiences where you worked effectively with others. Be ready to discuss how you’ve driven research efforts in a team setting and how you can bring that collaborative spirit to Google.
✨Highlight Your Publications
If you have publications in top machine learning conferences, make sure to mention them. Discuss the impact of your work and how it relates to the challenges faced by the Gemini team. This will show your commitment to advancing the field and your ability to contribute valuable insights.
