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For Companies At a Glance
- Tasks: Drive research to enhance AI model factuality and collaborate with teams.
- Company: Join Google, a leader in tech innovation and diversity.
- Benefits: Enjoy a culture of belonging, equal opportunities, and a diverse workforce.
- Why this job: Make a real impact on AI accuracy while working with top experts.
- Qualifications: PhD in Computer Science or related field; 2 years leading research.
- Other info: Experience with LLM training and publications in top conferences preferred.
The predicted salary is between 48000 - 72000 £ per year.
Qualifications
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- 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 job
As 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 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.
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.
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Research Scientist, Factuality employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Factuality
✨Tip Number 1
Network with professionals in the AI and machine learning fields. Attend conferences or workshops where you can meet researchers and industry experts. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Engage with the research community by contributing to discussions on platforms like ResearchGate or LinkedIn. Sharing your thoughts on recent publications or advancements can showcase your expertise and passion for the field.
✨Tip Number 3
Stay updated on the latest developments in factuality and generative models. Follow relevant journals and publications, and consider joining online forums or groups focused on these topics to enhance your knowledge and visibility.
✨Tip Number 4
Prepare to discuss your previous research and its impact during interviews. Be ready to explain how your work aligns with the goals of the Gemini Factuality team, demonstrating your understanding of their mission and your potential contributions.
We think you need these skills to ace Research Scientist, Factuality
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience in driving research agendas and mentoring junior team members. Detail any specific projects or initiatives where you led efforts, particularly those related to factuality or AI.
Showcase Publications: Include a list of your scientific publications, especially those submitted to top machine learning conferences. This will demonstrate your expertise and commitment to the field, which is crucial for this role.
Tailor Your CV: Customise your CV to reflect the qualifications mentioned in the job description. Highlight your PhD degree, relevant practical experience, and any specific skills related to LLM training and generative models.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the responsibilities of the Research Scientist role. Discuss your passion for improving AI factuality and how your skills align with the goals of the Gemini Factuality team.
How to prepare for a job interview at Google Inc.
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight your contributions, the methodologies you used, and any challenges you overcame. This will demonstrate your ability to drive progress and solve problems, which is crucial for the role.
✨Discuss Your Publications
If you have submitted papers to top machine learning conferences, make sure to mention them. Talk about the impact of your work and how it relates to factuality in AI. This shows that you are engaged with the academic community and understand current trends.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, be ready to provide examples of how you've successfully collaborated in the past. Discuss any mentoring experiences as well, as this aligns with the expectations of the position.
✨Prepare for Technical Questions
Expect questions related to LLM training, generative models, and software engineering for Machine Learning. Brush up on relevant concepts and be ready to explain your thought process when tackling complex problems. This will show your depth of knowledge and practical experience.
