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- Tasks: Enhance AI capabilities in factuality and collaborate on innovative research projects.
- Company: Leading multinational tech company with a focus on cutting-edge AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team to drive impactful AI research and innovation.
- Qualifications: PhD in Computer Science or related field, with research leadership experience.
- Other info: Collaborative environment with a strong emphasis on scientific publication.
The predicted salary is between 36000 - 60000 £ per year.
A leading multinational technology company is seeking a Research Scientist to enhance AI capabilities in factuality for Gemini. You will collaborate with diverse teams, conduct experimental research, and evaluate AI performance.
The ideal candidate holds a PhD in Computer Science or a related field, with at least 2 years of experience leading research and having published scientific work.
Your role entails driving forward research initiatives and extensive collaboration, requiring both theoretical knowledge and practical expertise.
Research Scientist, Factuality & LLM Modeling in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Factuality & LLM Modeling in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and research community. Attend conferences, webinars, or local meetups to meet potential collaborators and get your name out there.
✨Tip Number 2
Showcase your work! Create a portfolio or a personal website where you can highlight your research projects, publications, and any relevant experience. This gives hiring managers a quick glimpse of what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical skills and soft skills. Practice explaining your research in simple terms and be ready to discuss how you can contribute to the team’s goals at Gemini.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Scientist, Factuality & LLM Modeling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and research. We want to see how your background aligns with the role of Research Scientist, so don’t be shy about showcasing your PhD and any publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing AI capabilities and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working with diverse teams, highlight any past experiences where you’ve successfully collaborated on research projects. We’re looking for candidates who can work well with others and drive initiatives forward.
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 Inc.
✨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 factuality and LLM modelling. This shows your depth of knowledge and passion for the field.
✨Showcase Collaboration Skills
Since the role involves working with diverse teams, think of examples where you've successfully collaborated on research projects. Highlight your ability to communicate complex ideas clearly and work effectively with others, as this will be key in the interview.
✨Prepare for Technical Questions
Brush up on the latest advancements in AI and factuality. Expect technical questions that assess your understanding of AI performance evaluation and modelling techniques. Practising these topics will help you feel more confident during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's research initiatives and future directions in AI. This not only shows your interest in the role but also gives you a chance to gauge if the company aligns with your career goals.
