At a Glance
- Tasks: Tackle complex AI challenges and develop groundbreaking multimodal models.
- Company: Join a leading AI research lab backed by top investors and tech giants.
- Benefits: Competitive salary, equity options, and flexible working arrangements.
- Other info: Dynamic environment with opportunities for rapid career growth and collaboration.
- Why this job: Make a real impact in the AI field with innovative projects and a supportive team.
- Qualifications: Experience in machine learning, NLP, or relevant practical projects.
The predicted salary is between 140000 - 200000 £ per year.
Location: UK
Employment Type: Full time
Department: Science
About Inworld: Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from various investors. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA.
Who We're Looking For: A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful: You don't need all of this. But you need enough to make a case.
- Foundation models: training, new architectures, RL, reward modeling, scaling
- Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
- Frontier topics: multimodal models, agents, tool use, test-time compute, world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP — or equivalent practical experience you can point to
- Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
- Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result
If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials.
Who Thrives Here:
- Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output.
- First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem.
- Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like: We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We don't need a cover letter. A link to something you've built tells us more.
The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Staff / Principal Research Scientist - UK employer: careers.bitkraft.vc - Jobboard
Contact Detail:
careers.bitkraft.vc - Jobboard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff / Principal Research Scientist - UK
✨Tip Number 1
Get your hands dirty with projects that showcase your skills. Whether it's a side project or an open-source contribution, having something tangible to show us can make a huge difference. We love seeing what you've built and how you think!
✨Tip Number 2
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. Building connections can lead to opportunities that aren’t even advertised. Plus, it’s a great way to learn from others who are already in the field.
✨Tip Number 3
When you apply, don’t just send your CV. Share links to your work, GitHub repos, or any relevant projects. We want to see your thought process and how you tackle problems, so let your work do the talking!
✨Tip Number 4
Prepare for interviews by thinking through how you approach research and problem-solving. We value those who can articulate their thought process clearly. Practice explaining your past projects and the impact they had – it’ll help you stand out!
We think you need these skills to ace Staff / Principal Research Scientist - UK
Some tips for your application 🫡
Show Us What You've Built: Forget the traditional cover letter! Instead, share a link to something you've created or worked on. We want to see your skills in action, so let your projects do the talking.
Be Yourself: We’re not looking for cookie-cutter resumes. Highlight your unique experiences and how they’ve shaped your approach to research. Show us how you think outside the box!
Focus on Impact: When detailing your experience, emphasise the impact of your work rather than just listing tasks. We care about what you achieved and how it contributed to the bigger picture.
Apply Through Our Website: Make sure 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 careers.bitkraft.vc - Jobboard
✨Show Your Work
Bring along examples of your projects, whether they’re side projects or research papers. Inworld values evidence over credentials, so showcasing what you've built and how you approached problems will really help you stand out.
✨Embrace Ambiguity
Prepare to discuss how you've tackled unclear problems in the past. Inworld is looking for pathfinders who can navigate uncertainty, so share specific instances where you’ve taken initiative to clarify a situation or develop a solution from scratch.
✨Understand the 'Why'
Be ready to dive deep into the reasoning behind your work. Inworld appreciates first-principles engineers who question approaches and seek better solutions. Think about the core problems you've solved and articulate your thought process clearly.
✨Be a Mission Owner
Demonstrate your passion for understanding the context behind decisions. Inworld wants candidates who thrive on deep context, so prepare to discuss how you’ve taken ownership of projects and driven them to completion, focusing on impact rather than just academic output.