Staff / Principal Research Scientist, Models - UK

Inworld AI; United States; Remote; USD 188,000 - 269,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Inworld is seeking exceptional researchers to advance realtime AI for consumer applications. You’ll own end-to-end research from concept to publishable results, framing questions, running experiments, and shipping impactful findings. We value fast iteration, clear demonstrations, and open collaboration across teams.

A base salary range is £140,000 – £200,000 with equity and benefits. UK work eligibility is required; visa sponsorship isn’t available. Relocation to SF may be considered.

Qualifications

• Foundation models: training, scaling and reward modeling concepts.
• Evaluation: benchmarks, eval loops, quality measurement.
• Frontier topics: multimodal models, agents, tool use, world models.
• PhD in ML/NLP — or equivalent demonstrated work.
• Public work: non-trivial AI side projects and open-source contributions.

Responsibilities

• Frame research questions, run experiments, and ship results.
• Own the end-to-end lifecycle from idea to publication.
• Balance research impact with production readiness and rigor.

Skills

Foundation models

Evaluation

Frontier topics

Published research

Full-stack research ownership

Pathfinders

Full-Cycle Researchers

First-Principles Engineers

Mission Owners

Education

PhD in ML/NLP

Job description

About Inworld

Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.

Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.

We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and 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.

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