Senior Research Scientist

Job not on LinkedIn

🔥 1 hour ago

🇷🇸 Serbia – Remote

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 13%

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 realtime AI for consumer-facing applications • Develop and improve foundation models, speech models, LLMs, and related AI architectures • Design and run experiments to clarify ambiguous research questions • Build evaluation benchmarks, evaluation loops, and quality measurement systems • Investigate multimodal models, agents, tool use, test-time compute, and world models • Take research from question framing through experimentation, publication, and production deployment • Ship research results for high-impact consumer applications • Collaborate daily with US-based leadership and engineering teams • Share impactful work that advances the field when appropriate

🎯 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 • Professional fluency in English, written and spoken • Legal right to work in Serbia