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Nuancelabs

greenhouse
6 open positions
Last updated May 9, 2026
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Business Operations Lead

23
Lowest

Nuance Labs is building visual conversational AI that possesses emotional realism. This is a high-impact role to shape the operational core of a fast-growing company, from office management and team culture to the systems that scale with us. You'll bring your own interests to the table and take owne

OperationsOtherBusiness Operations ManagerBusiness Operations LeadLead
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5 0 0 ~1mo ago

Research Scientist - Speech Synthesis

23
Lowest

About Nuance Labs Nuance Labs is an early-stage deep tech startup. We’re building the first real-time human foundation model — unifying text, speech, and vision — to make AI socially and emotionally intelligent. Imagine an AI that can understand a quirked eyebrow, a shift in tone, or a hesitant paus

Data ScienceData ScientistResearch ScientistDataData & AIMid
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3 0 0 2mo ago

Research Scientist - MLLM Training

23
Lowest

About Nuance Labs Nuance Labs is an early-stage deep tech startup. We’re building the first real-time human foundation model — unifying text, speech, and vision — to make AI socially and emotionally intelligent. Imagine an AI that can understand a quirked eyebrow, a shift in tone, or a hesitant paus

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4 0 0 2mo ago

Systems Engineer: Real-Time Engine

23
Lowest

About the Role We're building the engine that powers our AI avatar: a real-time interactive loop that continuously senses the user (audio and video), orchestrates inference across multiple models, manages state, and renders a coherent audio-visual response within tight latency budgets. Traditional r

Systems EngineerInfrastructure & CloudMid
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10 0 0 2mo ago

Machine Learning Infra Engineer

23
Lowest

About the Role Nuance Labs is building the next generation of emotionally expressive, real-time AI. This is a critical role to build the infrastructure that powers our AI platform. You will own the systems that serve models at scale, orchestrate complex data workflows, and ensure our real-time video

Data ScienceMachine Learning EngineerMachine LearningData & AIMid
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6 0 0 2mo ago

Machine Learning Research Engineer

23
Lowest

Responsibilities Operationalize Research: Collaborate with researchers to move models from experimental checkpoints to production-ready systems. Establish patterns for large-scale training, rapid experimentation, and deployment of new architectures. Optimize Model Performance: Profile and improve mo

Data ScienceOtherMachine Learning EngineerMachine Learning Research EngineerData & AIMid
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4 0 0 2mo ago