Retell AI

3 months ago

Research Scientist - LLM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Research-driven ML researcher focused on advancing real-time voice AI, exploring LLMs and audio models, designing evaluation methods, prototyping systems, and bridging research with production to improve reasoning, latency, and conversational quality in live deployments.

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Research & Experimentation – Explore and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time systems.
•Model Prototyping – Rapidly build and iterate on experimental models and pipelines, turning research ideas into working prototypes.
•Evaluation & Benchmarking – Design novel evaluation frameworks, datasets, and metrics to measure performance on complex, real-world voice tasks.
•Bridge Research to Production – Collaborate closely with engineering to translate research insights into deployable systems.
•Human Feedback Loops – Develop methods to incorporate human evaluation into model improvement, especially for subjective conversational quality.

Pay and Benefits

Salary: USD 225,000 - 400,000 annually

Equity and Bonus:Equity

Key Requirements

•Strong ML research background with work in advanced ML problems (e.g., LLM pre-training/post-training, transcription models, text-to-speech, or multimodal systems).
•Deep technical foundation with PyTorch, model architectures, and math behind modern ML.
•Experimental mindset with comfort for exploring open-ended problems and rapid iteration.
•Ability to bridge theory and practice by translating research into real-world systems.
•Startup-ready mindset with comfort in fast-paced, high-ownership environments.

Experience:MLLLMsVoice AI

Skills:CommunicationCollaborationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:PyTorchLLMsAudio modelsMachine learningPythonSystems design

Company Brief

Retell AI

Provides an AI-powered platform for creating personalized, high-quality video content from text or templates, enabling businesses and creators to scale video production and engage audiences with automated, customizable video generation tools.

Industry: Digital Media

Website

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Retell AI

3 months ago

Research Scientist - LLM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Research & Experimentation – Explore and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time systems.
•Model Prototyping – Rapidly build and iterate on experimental models and pipelines, turning research ideas into working prototypes.
•Evaluation & Benchmarking – Design novel evaluation frameworks, datasets, and metrics to measure performance on complex, real-world voice tasks.
•Bridge Research to Production – Collaborate closely with engineering to translate research insights into deployable systems.
•Human Feedback Loops – Develop methods to incorporate human evaluation into model improvement, especially for subjective conversational quality.

Pay and Benefits

Salary: USD 225,000 - 400,000 annually

Equity and Bonus:Equity

Key Requirements

•Strong ML research background with work in advanced ML problems (e.g., LLM pre-training/post-training, transcription models, text-to-speech, or multimodal systems).
•Deep technical foundation with PyTorch, model architectures, and math behind modern ML.
•Experimental mindset with comfort for exploring open-ended problems and rapid iteration.
•Ability to bridge theory and practice by translating research into real-world systems.
•Startup-ready mindset with comfort in fast-paced, high-ownership environments.

Experience:MLLLMsVoice AI

Skills:CommunicationCollaborationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:PyTorchLLMsAudio modelsMachine learningPythonSystems design

Company Brief

Retell AI

Industry: Digital Media

Website