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Foundation Models Jobs in Illinois (NOW HIRING)

Frontier AI x Biology | Foundation Models | Therapeutic Discovery 💼 Stage: Well-funded AI Biotechnology Company PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER About the ...

Contribute to the research, design, and development of large-scale foundation models for machine-generated data, with a primary focus on graph data and additional support for logs, time series ...

In this role at PwC, you will focus on building AI solutions using foundation models, machine learning, agentic systems, retrieval technologies, and modern software engineering practices. You will ...

... tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best ...

Develop and execute integrated marketing initiatives for our data, AI, Foundation Models and service offerings, including product launches and thought leadership content. * Manage marketing projects ...

Databricks AI Engineer

Chicago, IL · On-site

$61.75 - $80.50/hr

Work with Amazon Bedrock foundation models and develop prompt engineering and model orchestration strategies. * Implement security controls using IAM, authentication, authorization, encryption, and ...

New

Develop solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows. * Design and evaluate AI agents, multi-agent ...

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

The role involves building scalable data driven and AI/ML solutions, leveraging foundation models and generative AI services, and contributing to cloud infrastructure automation and best engineering ...

AI Engineer

Chicago, IL

$57 - $73.50/hr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

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Principal Research Scientist Speech Voice Foundation Models

Intelix.AI

Mundelein, IL • On-site

Other

Posted 12 days ago


Job description

Principal Research Scientist Speech & Audio Foundation Models

Text-to-speech, voice cloning, speech synthesis, realtime conversational voice.


$270,000–$500,000 base plus bonus, equity and benefits (US).

Relocation assistance available. Visa transfer supported

San Francisco on-site preferred | Remote considered in the US, UK and parts of Europe.

Permanent, full-time.



A top end research lab building realtime voice models text-to-speech, speech-to-text and speech-to-speech delivered as an API. The models run in production behind consumer applications used at very large scale, across health, learning, therapy, companionship, media and gaming.


Text-to-speech, voice cloning, speech synthesis, realtime conversational voice.



The role


Build the models that are the product! This is full-stack research ownership: you frame the question, run the experiments, and ship the result. Research is only finished when it is in production and measurable.



Responsibilities



  • Train foundation models: pre-training, reinforcement learning, reward modelling, post-training, new architectures, scaling.
  • Build and improve voice and speech models across TTS, STT and speech-to-speech.
  • Design the evaluation that proves the work: benchmarks, eval loops, LLM-as-judge, failure analysis. Evaluation is treated as a research product in its own right, not as a pre-launch checkbox.
  • Work on frontier problems adjacent to the roadmap: multimodal, agents and tool use, test-time compute.
  • Take models into production alongside the serving engineering team, inside a sub-200ms latency budget and across 100+ languages.



Essential



  • Hands-on foundation-model training. Pre-training, RL, reward modelling, post-training, scaling. Fine-tuning or building on top of someone else's model is a different discipline and is not what this role is.
  • Real voice or speech research: TTS, STT or speech-to-speech. Speech-to-speech is the strongest signal; TTS and ASR both count. Text-only research does not transfer.
  • Evidence you can point at: papers, shipped models, open-source contributions, or systems in production.



Desirable



  • Evaluation depth: benchmarks, eval loops, quality measurement, failure analysis.
  • Publications at ICML, ICLR, NeurIPS, EMNLP, ACL, AAAI, Interspeech or ICASSP.
  • PhD in ML or NLP, or equivalent practical experience you can point to.
  • Frontier exposure: multimodal, agents, tool use, test-time compute.
  • Public work: side projects, open-source, technical write-ups.