Retell AI

3 months ago

Research Scientist - Audio

✓ 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

Founding ML research engineer focusing on real-time voice AI, exploring LLMs and audio models, prototyping systems, and designing evaluation frameworks to improve reasoning, latency, and conversational quality in production environments.

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 on advanced ML problems (e.g., LLM pre-training/post-training, transcription, text-to-speech, or multimodal systems)
•Deep technical foundation with PyTorch, model architectures, and mathematical grounding in ML
•Experimental mindset with ability to iterate quickly on open-ended problems
•Ability to translate research into real-world, production-ready systems
•Startup-ready mindset with high ownership and ambiguity tolerance

Experience:ResearchMLAudiomodelsLLMsReal-time AI

Skills:CommunicationCollaborationProblem-solvingExperimental mindset

Languages:English

Tech Stack:PyTorchLLMAudio modelsMachine learningDeep learning

Eligibility

Visa:H1BTNL-1E-3F-1O-1

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 - Audio

✓ 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 on advanced ML problems (e.g., LLM pre-training/post-training, transcription, text-to-speech, or multimodal systems)
•Deep technical foundation with PyTorch, model architectures, and mathematical grounding in ML
•Experimental mindset with ability to iterate quickly on open-ended problems
•Ability to translate research into real-world, production-ready systems
•Startup-ready mindset with high ownership and ambiguity tolerance

Experience:ResearchMLAudiomodelsLLMsReal-time AI

Skills:CommunicationCollaborationProblem-solvingExperimental mindset

Languages:English

Tech Stack:PyTorchLLMAudio modelsMachine learningDeep learning

Eligibility

Visa:H1BTNL-1E-3F-1O-1

Company Brief

Retell AI

Industry: Digital Media

Website