Switzerland Staff / Principal Research Scientist - Switzerland

Inworld, Inc.; Schweiz; Hybrid; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Inworld AI is seeking researchers to advance agentic systems and realtime voice models. You will work on foundation models, evaluation loops, and multimodal topics, with emphasis on measurable impact over publications.

The role is remote within Switzerland under an Employer of Record arrangement, and candidates must have the right to work in Switzerland. We welcome diverse backgrounds and practical evidence of impactful work.

Qualifikationen

• 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 top ML/NLP venues.
• Public work: open-source contributions and interdisciplinary experiments.
• Full-stack research ownership: define problem, run experiments, write paper, ship results.
• Proficient in English, spoken and written.

Kenntnisse

Foundation models

Evaluation

Frontier topics

Published research

PhD in ML/NLP

Public work

Full-stack research ownership

English fluency

Ausbildung

PhD in ML/NLP

Jobbeschreibung

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

Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.

If you learned through building, competitions, or collaborations outside academia, that counts. We care about evidence, not credentials.

Who Thrives Here

You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go

You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output

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

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.

Location & Employment

Location: remote within Switzerland

Hiring model: Employment via Employer of Record (EOR)

Candidates must already have the legal right to work in Switzerland, 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.