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For Companies At a Glance
- Tasks: Drive groundbreaking research and engineering for AI database reasoning.
- Company: Join a VC-backed AI startup at the forefront of technology.
- Benefits: Founding level equity, competitive salary, and a chance to shape the future.
- Why this job: Make a real impact in AI while working with a world-class team.
- Qualifications: MSc/PhD in relevant fields and strong experience with ML tools.
- Other info: Collaborative environment in central London with exceptional career growth.
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 - Informatics in London employer: Native
Contact Detail:
Native Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Informatics 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 graph neural networks. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of modern ML tooling like PyTorch and JAX. Practice coding challenges and be ready to discuss your past projects in detail, focusing on your problem-solving approach.
✨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 the Native team from the get-go.
We think you need these skills to ace Research Engineer - Informatics in London
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 the work we do at Native.
Tailor Your CV: Make sure your CV highlights relevant experience in building and scaling foundation models. We love seeing specific projects or achievements that demonstrate your hands-on skills with modern ML tooling like PyTorch or JAX.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this founding research engineer role. Share your vision for the future of AI and how you can contribute to shaping our research agenda from day one.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Native
✨Know Your Stuff
Make sure you brush up on your knowledge of graph neural networks and transformer architectures. Be ready to discuss your hands-on experience with building and scaling foundation models using tools like PyTorch, Ray, or JAX. This will show that you’re not just familiar with the theory but can also apply it practically.
✨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 is your chance to demonstrate your creative problem-solving abilities and how you can contribute 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 envision shaping the architecture from day one. Articulate your ideas clearly and show enthusiasm for pushing the boundaries of AI in database reasoning. This will highlight your ambition and alignment with the company’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face, and the direction of their research. This not only shows your genuine interest in the role but also helps you gauge if the company culture aligns with your values. Remember, interviews are a two-way street!