Research Engineer (Foundation Model) in London
Research Engineer (Foundation Model)

Research Engineer (Foundation Model) in London

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

  • Tasks: Drive groundbreaking research and engineering for AI database reasoning.
  • Company: Join a VC-backed AI startup revolutionising database technology.
  • Benefits: Founding level equity, competitive salary, and a chance to shape the future.
  • Why this job: Be part of a world-class team tackling unsolved AI challenges.
  • Qualifications: MSc/PhD in relevant fields and strong experience with foundation models.
  • Other info: Collaborative culture in central London with immense growth potential.

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

About Native

Native is a VC backed AI startup building the world’s most accurate AI for database reasoning. This is an 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 research engineer role, with the opportunity to set the research agenda and shape the architecture from day one.
  • Drive foundational research and engineering for reasoning over complex tabular data.
  • Design, implement, and iterate on new encoders (including graph transformers) for complex heterogeneous data.
  • Develop creative and impactful self-supervised learning objectives and translate them into production-ready systems.
  • Scale novel foundation models across huge datasets.
  • Build, optimize, and maintain scalable training and evaluation pipelines.
  • Fine-tune foundation model embeddings into high-value downstream tasks.
  • Work hands-on across the full stack, from research ideas to deployed systems.
  • Guide and mentor an exceptional team of research engineers.

Required experience

  • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems.
  • MSc / PhD in Mathematics, Physics, Computer Science, or a related field.
  • Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX).
  • Strong background in graph neural networks and transformer architectures.
  • Demonstrated ability to turn research ideas into robust, scalable implementations.
  • Comfortable owning whatever needs doing, from research prototypes to infrastructure.
  • Experience optimizing large-scale training runs on GPU clusters.

Why join us

  • 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 Engineer (Foundation Model) in London employer: Native

Native is an exceptional employer for those looking to make a significant impact in the AI field, particularly as a Research Engineer in our London-based team. We offer a collaborative and ambitious work culture where every team member has high agency and the opportunity to shape groundbreaking research from day one. With competitive salaries, founding-level equity, and a focus on personal and professional growth, Native is the ideal place for innovative thinkers eager to tackle complex challenges and drive meaningful change.
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Contact Detail:

Native Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Research Engineer (Foundation Model) in London

✨Tip Number 1

Network like a pro! Reach out to people in the AI and research engineering space, especially those connected to Native. Attend meetups, webinars, or conferences where you can chat with industry folks and get your name out there.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to foundation models or complex data reasoning. This will give you an edge and demonstrate your hands-on experience to potential employers.

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of graph neural networks and transformer architectures. Practice coding challenges and be ready to discuss your past projects in detailβ€”this is your chance to shine!

✨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, it shows you’re genuinely interested in being part of our ambitious team at Native.

We think you need these skills to ace Research Engineer (Foundation Model) in London

Research Engineering
Database Reasoning
Graph Neural Networks
Transformer Architectures
Self-Supervised Learning
Machine Learning Tooling (PyTorch, Ray, JAX)
Scalable Implementations
Training and Evaluation Pipelines
GPU Cluster Optimization
Creative Problem Solving
Team Leadership
Mathematics
Physics
Computer Science

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 looking for a job, but that you're genuinely excited about the challenges we face and the impact we can make together.

Tailor Your Experience: Make sure to highlight your relevant experience in research engineering, especially with foundation models and ML tooling. We love seeing how your background aligns with our needs, so don’t hold back on showcasing your skills in PyTorch, Ray, or JAX!

Be Clear and Concise: While we appreciate creativity, clarity is key in your written application. Keep your language straightforward and to the point, making it easy for us to understand your qualifications and how you can contribute to our mission.

Apply Through Our Website: We encourage you to submit your application directly through our website. This helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!

How to prepare for a job interview at Native

✨Know Your Stuff

Make sure you brush up on your knowledge of foundational models, graph neural networks, and transformer architectures. Be ready to discuss your hands-on experience with tools like PyTorch, Ray, and JAX. This is a technical role, so demonstrating your expertise will show that you're the right fit for tackling those hard research-engineering problems.

✨Show Your Problem-Solving Skills

Prepare to share specific examples of how you've approached complex problems in the past. Think about times when you had to design, implement, or iterate on new encoders or self-supervised learning objectives. Highlight your creative problem-solving abilities and how they align with the company's mission to change the world of database reasoning.

✨Embrace the Culture

Native is all about ambition and collaboration. During the interview, express your enthusiasm for building something impactful and your willingness to work intensively as part of a small team. Show that you have an entrepreneurial spirit and are motivated to push the boundaries of AI technology.

✨Ask Insightful Questions

Prepare thoughtful questions that demonstrate your interest in the company’s research agenda and future direction. Inquire about their current projects, challenges they face, and how you can contribute to their goals. This not only shows your engagement but also helps you assess if this is the right environment for you.

Research Engineer (Foundation Model) in London
Native
Location: London

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