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- Tasks: Lead research to enhance AI model factuality and collaborate with diverse teams.
- Company: Join Google, a leader in technology and innovation, committed to equality and diversity.
- Benefits: Enjoy flexible work options, competitive salary, and a vibrant workplace culture.
- Why this job: Make a real impact in AI while working with cutting-edge technology and brilliant minds.
- Qualifications: PhD in Computer Science or related field, 2 years of research experience, and programming skills.
- Other info: Google values diversity and encourages applicants from all backgrounds.
The predicted salary is between 48000 - 72000 £ 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 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
The Gemini Factuality team is dedicated to ensuring the factual accuracy and reliability of our next-generation AI models. 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 complex 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 toimprove 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 . #J-18808-Ljbffr
Research Scientist, Factuality employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Factuality
✨Tip Number 1
Make sure to stay updated on the latest research in factuality and generative models. Follow key conferences like NeurIPS and ICML, and engage with the community through forums or social media to discuss recent findings.
✨Tip Number 2
Network with professionals in the field by attending workshops or meetups related to AI and machine learning. Building connections can lead to valuable insights and potential referrals for the Research Scientist position.
✨Tip Number 3
Consider contributing to open-source projects or collaborating on research papers. This not only enhances your portfolio but also demonstrates your commitment to advancing the field and your ability to work collaboratively.
✨Tip Number 4
Prepare to discuss your previous research experiences in detail during interviews. Be ready to explain how your work aligns with improving factuality in AI models, showcasing your understanding of both theoretical and practical aspects.
We think you need these skills to ace Research Scientist, Factuality
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your PhD and any relevant research experience. Detail your leadership in research agendas and any specific projects that align with the responsibilities of the Research Scientist role.
Showcase Technical Skills: Clearly list your programming skills in Python, JavaScript, R, Java, or C++. If you have experience with LLM training and generative models, be sure to mention it prominently in your application.
Include Publications: Mention any scientific publications you have submitted, especially those in top machine learning conferences. This will demonstrate your active engagement in the research community and your ability to contribute to the field.
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements and responsibilities outlined in the job description. Use keywords from the job posting to ensure your application resonates with the hiring team.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight your role in leading a research agenda and any significant findings or contributions you've made, especially those that relate to factuality or AI.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills in Python, JavaScript, R, Java, or C++. Be ready to discuss how you've applied these languages in your research, particularly in the context of machine learning and generative models.
✨Discuss Your Publications
If you have submitted publications to top conferences, be ready to talk about them. Explain the significance of your work, the challenges you faced, and how it contributes to the field of AI and factuality.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked with cross-functional teams. Be ready to discuss how you approach teamwork, share knowledge, and drive projects forward together.
