Research Scientist — Factuality & AI Reliability in London
Research Scientist — Factuality & AI Reliability

Research Scientist — Factuality & AI Reliability in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Enhance AI capabilities and improve factuality through innovative research and experiments.
  • Company: Leading tech company at the forefront of AI development.
  • Benefits: Dynamic work environment with opportunities for growth and collaboration.
  • Why this job: Join a team shaping the future of AI and make a real impact.
  • Qualifications: PhD in Computer Science or related field, programming experience in Python, JavaScript, R, Java, or C++.

The predicted salary is between 36000 - 60000 £ per year.

A leading technology company is seeking a Research Scientist to enhance AI capabilities in Gemini. Candidates must possess a PhD in Computer Science or a related field and experience with programming in Python, JavaScript, R, Java, or C++.

Responsibilities include:

  • Improving Gemini's factuality
  • Conducting experiments
  • Collaborating with various teams

The role demands strong theoretical research and applied science skills and offers a dynamic work environment focused on artificial intelligence.

Research Scientist — Factuality & AI Reliability in London employer: Google

As a leading technology company, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, making it an ideal place for passionate individuals looking to make a meaningful impact in the field of artificial intelligence.
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Contact Detail:

Google Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Scientist — Factuality & AI Reliability in London

Tip Number 1

Network like a pro! Reach out to professionals in the AI field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, JavaScript, or any relevant programming languages. This gives us a tangible way to see what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on both theoretical concepts and practical applications in AI. We recommend practising common interview questions and even conducting mock interviews with friends or mentors.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Research Scientist — Factuality & AI Reliability in London

PhD in Computer Science or related field
Programming in Python
Programming in JavaScript
Programming in R
Programming in Java
Programming in C++
Theoretical Research Skills
Applied Science Skills
Collaboration Skills
Experimentation Skills
AI Capabilities Enhancement

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your programming skills in Python, JavaScript, R, Java, or C++. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!

Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Research Scientist position. Mention your PhD and any relevant projects that demonstrate your expertise in AI and factuality.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for AI shines through!

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at Google

Know Your Stuff

Make sure you brush up on your knowledge of AI and factuality. Be ready to discuss your PhD research and how it relates to the role. Familiarise yourself with Gemini's current capabilities and think about how you can contribute to enhancing them.

Show Off Your Coding Skills

Since programming is key for this position, be prepared to demonstrate your proficiency in Python, JavaScript, R, Java, or C++. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand.

Collaborate Like a Pro

This role involves working with various teams, so highlight your teamwork experience. Prepare examples of past collaborations where you successfully worked with others to achieve a common goal, especially in research settings.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or challenges they face with Gemini. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Research Scientist — Factuality & AI Reliability in London
Google
Location: London
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  • Research Scientist — Factuality & AI Reliability in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • G

    Google

    10000+
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