Staff/Principal Research Scientist

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

💵 £140k - £200k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Inworld AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🤖 Artificial Intelligence

🔌 API

💰 $50M Series A on 2022-08

Consulting • Artificial Intelligence • API

Inworld AI is a developer-focused conversational AI platform that provides a realtime, provider-agnostic runtime and high-quality TTS for building expressive voice agents and virtual characters. It offers multilingual, low-latency streaming voice, instant cloning, emotion and non-verbal controls, and an API-based integration layer with templates and pipelines optimized for scale and cost. The platform is used across games, media, contact centers, and other interactive experiences to boost engagement and reduce infrastructure costs.

📋 Description

• Conduct research on foundation models, evaluation, and frontier AI topics • Train models and develop new architectures, reinforcement learning, reward modeling, and scaling approaches • Design benchmarks, evaluation loops, quality measurements, LLM-as-judge systems, and failure analyses • Research multimodal models, agents, tool use, test-time compute, and world models • Frame research questions and design experiments to investigate them • Write research papers and publish findings • Ship research results into production • Build and demonstrate public AI projects, interdisciplinary experiments, or open-source contributions • Work on first-party speech models, LLM serving, realtime inference, large-scale serving infrastructure, and modular APIs for high-volume realtime workloads

🎯 Requirements

• Experience with foundation models, including training, new architectures, reinforcement learning, reward modeling, and scaling • Experience with evaluation, including benchmarks, evaluation loops, quality measurement, LLM-as-judge, and failure analysis • Experience with frontier topics such as multimodal models, agents, tool use, test-time compute, and world models • Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI • PhD in ML/NLP or equivalent practical experience • Public work such as non-trivial AI side projects, interdisciplinary experiments, or open-source contributions • Full-stack research ownership, from framing questions and running experiments to writing papers and shipping results • Candidates must already have the legal right to work in the United Kingdom • Visa sponsorship is not available for this role

🏖️ Benefits

• Equity • Benefits • Full U.S. visa and relocation support may be available for candidates relocating to the San Francisco Bay Area in the future, subject to business needs and applicable legal and work authorization requirements