At a Glance
- Tasks: Lead groundbreaking AI research and develop innovative multimodal models.
- Company: Join a top-tier AI research lab backed by major investors.
- Benefits: Competitive salary, equity, and comprehensive benefits package.
- Other info: Dynamic, flat structure with opportunities for rapid career growth.
- Why this job: Make a real impact in AI and shape the future of technology.
- 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 Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. 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 in London 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 in London
✨Tip Number 1
Get your hands dirty! Dive into 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.
✨Tip Number 2
Network like a pro! Connect with folks in the AI community, attend meetups, and engage in discussions. You never know who might help you land that dream role at Inworld.
✨Tip Number 3
Be ready to talk about your experiences! We love hearing about what you've built, broken, and learned. Prepare to share your journey and how it aligns with our mission.
✨Tip Number 4
Apply through our website! It’s the best way to get noticed. Skip the cover letter and let your work speak for itself. We’re excited to see what you’ve got!
We think you need these skills to ace Staff / Principal Research Scientist - UK in London
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 contributed to. This gives us a real insight into your skills and what you can bring to the table.
Be Yourself: We’re not looking for cookie-cutter resumes. Let your personality shine through in your application. Tell us about your unique experiences and how they’ve shaped your approach to research and problem-solving.
Focus on Impact: When detailing your past work, emphasise the impact of your projects rather than just listing tasks. We want to see how your contributions made a difference and what you learned along the way.
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 ensures you don’t miss out on any updates from us!
How to prepare for a job interview at careers.bitkraft.vc - Jobboard
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in AI and machine learning. Brush up on foundation models, evaluation techniques, and any relevant research you've done. Being able to discuss your projects and how they relate to Inworld's work will show that you're not just a resume but a passionate candidate.
✨Show Your Problem-Solving Skills
Inworld is looking for pathfinders who can tackle unclear problems. Prepare examples of challenges you've faced in your research or projects and how you approached them. Highlight your ability to design experiments and iterate based on findings, as this aligns with their emphasis on impact over academic output.
✨Demonstrate Your Curiosity
Be ready to express your 'I don't know yet' mindset. Inworld values researchers who are eager to explore and learn. Share instances where you’ve questioned existing methods and sought better solutions. This will resonate with their culture of innovation and experimentation.
✨Bring Evidence, Not Just Words
Instead of a cover letter, bring tangible proof of your work. Whether it’s a link to a project, a paper, or an open-source contribution, make sure you have something to showcase your skills and thought process. This will help you stand out and demonstrate your full-cycle research ownership.