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- Tasks: Drive groundbreaking research and engineering for AI database reasoning.
- Company: Join a VC-backed AI startup in central London with a collaborative culture.
- Benefits: Founding level equity, competitive salary, and the chance to shape AI's future.
- Why this job: Be part of a pioneering team pushing the boundaries of AI technology.
- Qualifications: MSc/PhD in relevant fields and strong experience with modern ML tools.
- Other info: Opportunity to mentor a talented team and make a real impact.
The predicted salary is between 36000 - 60000 £ per year.
About Native
Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. Our research team is based in London. We are exceptional research engineers and scientists taking a novel approach to accurate database reasoning.
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
- 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
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.
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.
Chance to shape the direction of a new class of foundation model from day one.
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 are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that.
Research Engineer, AI in London employer: Native
Contact Detail:
Native Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, AI 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 involving foundation models or complex data. This is your chance to demonstrate your hands-on experience and creativity in solving tough problems.
✨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 detail—this is where you can really shine!
✨Tip Number 4
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 the Native team from the get-go.
We think you need these skills to ace Research Engineer, AI in London
Some tips for your application 🫡
Show Your Passion for AI: 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 the work we do at Native.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant experience in building and scaling foundation models. We love seeing how your unique skills align with our mission, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your achievements and how they relate to the role. Remember, less is often more!
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 this exciting opportunity to join our founding team.
How to prepare for a job interview at Native
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, particularly in areas like graph neural networks and transformer architectures. Be ready to discuss your hands-on experience with modern ML tooling like PyTorch, Ray, and JAX. This is crucial for showing that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex research-engineering problems in the past. Think about times when you turned research ideas into robust implementations. This will demonstrate your ability to contribute meaningfully to the team.
✨Be Ready to Discuss Your Vision
Since this is a founding role, think about the research agenda you would set and how you would shape the architecture from day one. Articulate your vision for developing self-supervised learning objectives and scaling foundation models. This shows you're not just a doer but a thinker too.
✨Emphasise Team Collaboration
Highlight your experience in guiding and mentoring teams. Native values collaboration, so be prepared to discuss how you've worked with others to achieve common goals. Share examples of how you've fostered a creative problem-solving environment in previous roles.