Research Scientist - Speech Synthesis
RST Recruitment, Seattle, WA, United States
Research Scientist - Speech Synthesis - Seattle, WA (Onsite)
This role offers the rare opportunity to shape foundational technology in a space where the boundaries are still being defined.
You'll be building the first human foundation model that operates across text,
speech , facial expression, and body language in real time. This unified model
understands fine-grained human signals
— from a quirked eyebrow to a subtle change in voice — and infers meaning in context.
You will generate lifelike, responsive avatars
whose expressions, gestures, and tone evolve frame-by-frame to deliver genuine responses.
Seniority
At least 1 year of hands-on experience building and deploying AI/ML systems in real-world environments.
2 - 5 years of experience in full-stack software engineering, with ownership of production-grade systems (frontend, backend, and scalable infrastructure).
Work experience
Built complex, production-grade systems
across the full stack , ideally including AI-driven evaluation or scoring infrastructure.
Experience with simulation design (e.g., game development, physics simulations).
Experience building or working on interactive simulation systems (e.g., browser-based tools, game/physics engines, or real-time user workflows).
Education
Degree in Engineering, Computer Science, or a related hardtech field from a rigorous program.
Hard skills
Strong experience in AI/ML, particularly building or deploying multi-modal systems (e.g., video, telemetry, artifact ingestion).
Experience working with CAD/ECAD data, simulation tooling, or video processing pipelines in production environments.
Updated
Have deep experience applying AI to human evaluation problems — scoring open-ended responses, inferring latent behavioral traits, modeling cognitive patterns, or building systems that assess how people think rather than just what they know.
Soft skills
Highly autonomous, able to own features end-to-end.
Demonstrates passion for the field, e.g., works on side projects.
Miscellaneous
Based in San Francisco and can work hybrid (3+ days/week in-office).
Willing to work flexible hours, including occasional weekends when necessary.
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This role offers the rare opportunity to shape foundational technology in a space where the boundaries are still being defined.
You'll be building the first human foundation model that operates across text,
speech , facial expression, and body language in real time. This unified model
understands fine-grained human signals
— from a quirked eyebrow to a subtle change in voice — and infers meaning in context.
You will generate lifelike, responsive avatars
whose expressions, gestures, and tone evolve frame-by-frame to deliver genuine responses.
Seniority
At least 1 year of hands-on experience building and deploying AI/ML systems in real-world environments.
2 - 5 years of experience in full-stack software engineering, with ownership of production-grade systems (frontend, backend, and scalable infrastructure).
Work experience
Built complex, production-grade systems
across the full stack , ideally including AI-driven evaluation or scoring infrastructure.
Experience with simulation design (e.g., game development, physics simulations).
Experience building or working on interactive simulation systems (e.g., browser-based tools, game/physics engines, or real-time user workflows).
Education
Degree in Engineering, Computer Science, or a related hardtech field from a rigorous program.
Hard skills
Strong experience in AI/ML, particularly building or deploying multi-modal systems (e.g., video, telemetry, artifact ingestion).
Experience working with CAD/ECAD data, simulation tooling, or video processing pipelines in production environments.
Updated
Have deep experience applying AI to human evaluation problems — scoring open-ended responses, inferring latent behavioral traits, modeling cognitive patterns, or building systems that assess how people think rather than just what they know.
Soft skills
Highly autonomous, able to own features end-to-end.
Demonstrates passion for the field, e.g., works on side projects.
Miscellaneous
Based in San Francisco and can work hybrid (3+ days/week in-office).
Willing to work flexible hours, including occasional weekends when necessary.
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