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Machine Learning Engineer - Creative Systems Architect

United States
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Transform novel research into production-grade tools used across video, design, and storytelling applications. Design inference pipelines and implement low-latency serving strategies. Collaborate cross-functionally to ensure artistic direction is embedded into system feedback loops.

Key Highlights
Build and scale ML systems from early prototypes to production-ready creative applications
Design inference pipelines that integrate video, text, image, audio, and 3D content
Implement low-latency serving strategies and progressive rendering for real-time interactivity
Key Responsibilities
Build and scale ML systems from early prototypes to production-ready creative applications
Design inference pipelines that integrate video, text, image, audio, and 3D content into dynamic multimodal outputs
Implement low-latency serving strategies and progressive rendering for real-time interactivity

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Technical Skills Required
PyTorch JAX Deep learning system architecture ML design Training workflows Model evaluation best practices
Benefits & Perks
Competitive Base Salary
Equity: Founding-level ownership
Sponsorship: O-1/EB-1 visa sponsorship available

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Nice to Have
Ownership mindset
Comfort with ambiguity
Desire to solve tough technical problems that don't yet have playbooks

Job Description

ML Engineer

Location: New York City, NY

A stealth-mode creative intelligence lab is pioneering a new frontier in AI and creativity—developing the world’s first system engineered for superhuman creative output. They're assembling an elite team of founding engineers to bring this vision to life. Backed by industry leaders and top-tier investors, this venture combines cutting-edge research, system design, and product engineering to shape the future of generative media.

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Job Overview
Posted Feb 02, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Programming
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