Staff / Principal Research Scientist in Brighton

Staff / Principal Research Scientist in Brighton

Brighton Full-Time 140000 - 200000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead groundbreaking research in AI voice models and optimise real-time performance.
  • Company: Top-ranked AI research lab with a focus on innovation and impact.
  • Benefits: Competitive salary, equity, and comprehensive benefits package.
  • Other info: Dynamic environment with opportunities for rapid growth and impactful work.
  • Why this job: Join a team shaping the future of AI with real-world applications.
  • Qualifications: Experience in ML/NLP, strong problem-solving skills, and a passion for research.

The predicted salary is between 140000 - 200000 £ per year.

About Inworld

Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.

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 in Brighton employer: Inworld AI

Inworld is an exceptional employer for those passionate about cutting-edge AI research and development. With a flat structure that encourages innovation and rapid iteration, employees are empowered to tackle ambiguous challenges and make a tangible impact in the field. The company offers competitive compensation, equity options, and a culture that values visibility and collaboration, making it an ideal environment for growth and meaningful contributions in the vibrant tech landscape of the UK.

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Contact Details:

Inworld AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff / Principal Research Scientist in Brighton

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

Be ready to discuss your experiences in detail during interviews. We’re looking for candidates who can articulate their thought processes and decisions. Prepare to dive deep into your projects and the challenges you faced – we love a good story!

We think you need these skills to ace Staff / Principal Research Scientist in Brighton

Foundation Models
Training New Architectures
Reinforcement Learning (RL)
Reward Modeling
Scaling
Evaluation Benchmarks
Quality Measurement

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. This gives us a real insight into your skills and creativity.

Be Authentic:We’re not looking for cookie-cutter applications. Be yourself and let your personality shine through. Tell us about your journey, what excites you, and how you tackle challenges.

Focus on Impact:When detailing your experience, highlight the impact of your work rather than just listing tasks. We want to see how you've made a difference in your projects and teams.

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 Inworld AI

Know Your Stuff

Make sure you’re well-versed in the latest advancements in machine learning and natural language processing. Brush up on foundation models, evaluation techniques, and any frontier topics mentioned in the job description. Being able to discuss your own projects or research will show that you’re not just a resume but someone who actively engages with the field.

Show Your Problem-Solving Skills

Prepare to discuss how you've tackled ambiguous problems in the past. Inworld values pathfinders who can create clarity from chaos. Think of examples where you framed a question, designed an experiment, and shipped results. This will demonstrate your ability to thrive in uncertainty and your commitment to impactful research.

Be Ready to Dive Deep

Expect to be asked about the 'why' behind your work. Inworld is looking for first-principles engineers who question approaches and seek better solutions. Prepare to explain your thought process and the rationale behind your decisions. This shows that you’re not just executing tasks but are genuinely invested in understanding the core problems.

Bring Evidence, Not Just Words

Instead of a cover letter, have links ready to showcase your work—be it side projects, open-source contributions, or published research. This tangible evidence of your skills and experience will speak volumes about your capabilities and fit for the role. Make sure these links are easy to access and highlight your best work.