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Founding ML Engineer – Real-Time Voice AI
Location: San Francisco, CA – On-site
Seniority: 2–7 years in ML engineering; hands-on experience with real-time or interactive ML systems
Salary: $175K–$250K + 1–2% Equity
Visa Sponsorship: Available for U.S.-based candidates
Hiring: 1 candidate
About the Role:
Join an early-stage AI startup redefining human-computer interaction through emotionally intelligent voice interfaces. You’ll be a founding ML engineer responsible for designing and scaling the real-time ML infrastructure powering applications in therapy, coaching, gaming, and companion AI.
Key Responsibilities:
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Develop and optimize inference pipelines for ultra-low latency, real-time ML systems
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Build emotionally expressive voice models responding naturally to human input
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Make architectural decisions on ML infrastructure and pipelines
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Collaborate closely with founders on product shaping, infrastructure, and customer feedback
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Contribute directly to the core ML systems defining the user experience across web and mobile
Ideal Candidate:
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Deep experience with ML frameworks: PyTorch, Transformers, CUDA
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Expertise in real-time or streaming ML systems; inference optimization a must
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Experience with speech, TTS, emotion, or prosody modeling
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Startup DNA: comfort in early-stage environments, working closely with founders
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Passion for conversational AI and real-time user experiences
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Contributions to open-source projects encouraged
Traits to Avoid:
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Only exploring opportunities without active interest in voice AI
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Entirely big-tech background with no startup/hustle exposure
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Overloaded certifications or lack of hands-on experience
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Unwillingness to relocate or start within one month
Why Join:
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Shape the ML foundation of a high-impact consumer AI product
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Work with top-tier technical founders in a zero-bureaucracy environment
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Access to large consumer AI clients and early traction
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Small, collaborative team with direct influence on product and architecture
About the Company:
This startup powers voice companions and agents with memory and emotional intelligence. The team tackles cutting-edge challenges in scaling, latency, emotion understanding, context management, and multi-user voice experiences.
Team Size: 4 employees
Industry: AI, Software Development, Gaming
Founded: 2024
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