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- Tasks: Drive research to enhance AI factuality and collaborate with diverse teams.
- Company: Join Google, a leader in innovation and equal opportunity.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Make a real impact on AI by solving critical challenges.
- Qualifications: PhD in Computer Science and experience in leading research.
- Other info: Dynamic environment with a focus on cutting-edge technology.
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 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.
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 your connections in the AI and research fields. Attend conferences, webinars, or local meetups to meet potential collaborators or employers. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any relevant coding work. This is your chance to demonstrate your expertise in Python, JavaScript, or any other languages you’re proficient in. Make it easy for hiring managers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and machine learning. Be ready to discuss your experience with Large Language Models and how you’ve tackled challenges in your previous research. Practice common interview questions and have your own questions ready to show your interest in the role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your unique blend of theoretical and applied science skills, and let us know how you can help improve Gemini’s capabilities.
We think you need these skills to ace Research Scientist, Factuality
Some tips for your application 🫡
Show Off Your Research Experience: Make sure to highlight your PhD and any relevant research experience. We want to see how you've led a research agenda and what publications you've contributed to. This is your chance to shine!
Tailor Your Skills to the Job: When listing your skills, focus on those that match the job description. If you’ve got experience with Python, JavaScript, or any of the other languages mentioned, let us know! We love seeing how your skills align with our needs.
Cite Your Publications: If you've submitted papers to top conferences or journals, make sure to mention them. This shows us you're serious about your work and have a solid track record in the field. Don’t be shy—share your achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts!
How to prepare for a job interview at Google
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to the role of improving factuality in AI. This shows your depth of knowledge and passion for the field.
✨Brush Up on Relevant Technologies
Since the job requires experience in Python, JavaScript, R, Java, or C++, ensure you're comfortable discussing your proficiency in these languages. You might be asked to solve a coding problem or explain how you've used these tools in your past work.
✨Familiarise Yourself with Current Literature
Stay updated on the latest research in Large Language Models and generative models. Being able to reference recent papers or breakthroughs during your interview will demonstrate your commitment to staying at the forefront of the field.
✨Prepare for Collaborative Scenarios
As collaboration is key in this role, think of examples where you've worked with cross-functional teams. Be ready to discuss how you’ve contributed to team projects and how you handle differing opinions or challenges in a collaborative environment.
