Research Scientist in London

Research Scientist in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead groundbreaking research in AI for database reasoning and shape the future of technology.
  • Company: Join a VC-backed startup revolutionising AI with a passionate team in London.
  • Benefits: Founding level equity, competitive salary, and the chance to make a real impact.
  • Why this job: Be part of a pioneering team tackling unsolved problems in AI and database reasoning.
  • Qualifications: PhD/MSc in relevant fields and experience with modern ML tools and research leadership.
  • Other info: Collaborative culture focused on creativity and solving hard problems.

The predicted salary is between 43200 - 72000 £ per year.

Native is a VC backed AI startup building the world’s most accurate AI for database reasoning. This is a hard, unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, is obsessed with the problem we are solving, embraces the intensity of a 6-day week, and has the ambition to build something world-changing. We are exceptional research engineers and scientists taking a novel approach to accurate database reasoning.

About the role

  • This is a founding role, with opportunity to set the research agenda and shape the architecture from day one.
  • Drive foundational research for reasoning over complex tabular data.
  • Develop and implement new encoders (including graph transformers) for complex heterogeneous data.
  • Design creative and impactful self-supervised learning objectives.
  • Build scalable training and evaluation pipelines.
  • Guide an exceptional team of research engineers.

Required experience

  • Proven ability to lead research teams tackling hard problems.
  • PhD/MSc in Mathematics, Physics, Computer Science or a related field.
  • Hands-on experience building and training foundation models with modern ML tools (PyTorch, Ray, JAX).
  • Strong background in graph neural nets and transformer architectures.
  • Track record of publications at top conferences (NeurIPS, ICML, ICLR, ACL etc…)
  • Able to take ownership of whatever needs doing.
  • Experience optimising training runs on GPU clusters.

Nice to have:

  • Experience with reinforcement learning and large language models.

This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win.

Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain.

Team: We are a small, collaborative, world-class research team based in central London. Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great.

Direction: Chance to shape the direction of a new class of foundation model from day one.

Culture: At Native, we look for people with exceptional research and engineering ability, who want to win. Everyone loves building and is ambitious enough to want to change how the world operates for the better. We run towards hard problems. We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that. If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Research Scientist in London employer: Native

At Native, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. As a founding member of our research team, you will have the unique opportunity to shape groundbreaking AI solutions while enjoying competitive compensation and equity options. Our dynamic work environment encourages creativity and problem-solving, making it an ideal place for those who are passionate about pushing the boundaries of technology.
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Contact Detail:

Native Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Scientist in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with researchers on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your research projects, publications, and any cool models you've built. This is your chance to demonstrate your expertise and passion for tackling hard problems.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely, as you'll want to impress the team with your ability to communicate effectively.

✨Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining our mission. Tailor your application to highlight how your experience aligns with our goals, and don't hesitate to follow up after applying.

We think you need these skills to ace Research Scientist in London

Research Leadership
PhD/MSc in Mathematics, Physics, Computer Science or related field
Foundation Models Development
Hands-on Experience with PyTorch
Hands-on Experience with Ray
Hands-on Experience with JAX
Graph Neural Networks
Transformer Architectures
Publication Record at Top Conferences
Ownership and Accountability
Optimisation of Training Runs on GPU Clusters
Self-Supervised Learning Objectives
Scalable Training and Evaluation Pipelines
Creative Problem Solving
Entrepreneurial Spirit

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for AI and database reasoning shine through. We want to see that you're not just qualified, but genuinely excited about tackling hard problems and making a difference in the field.

Tailor Your CV: Make sure your CV highlights relevant experience, especially in leading research teams and working with modern ML tools. We love seeing a strong background in graph neural nets and transformer architectures, so don’t hold back on showcasing your expertise!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this founding role. Share your vision for the future of AI and how you plan to contribute to our mission. Be creative and impactful – we appreciate originality!

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 it gets into the right hands. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Native

✨Know Your Research Inside Out

Make sure you’re well-versed in your own research and any relevant publications. Be prepared to discuss your past work in detail, especially if it relates to complex tabular data or foundational models. This shows you’re not just a candidate but a passionate expert in your field.

✨Demonstrate Problem-Solving Skills

Expect to face challenging questions that test your problem-solving abilities. Think of examples from your experience where you tackled hard problems, particularly in AI or machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.

✨Show Your Team Spirit

Since this role involves guiding a team of research engineers, highlight your leadership experience. Share specific instances where you led a project or mentored others. Emphasise your collaborative approach and how you can contribute to a small, ambitious team.

✨Be Ready to Discuss Future Directions

Prepare to talk about your vision for the future of AI and database reasoning. Think about innovative ideas you could bring to the table and how you would shape the research agenda. This will demonstrate your entrepreneurial spirit and alignment with the company’s mission.

Research Scientist in London
Native
Location: London

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