Machine Learning Engineer - Creative Systems Architect
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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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.
They’re seeking a Machine Learning Engineer – Creative Systems Architect to help transform novel research into production-grade tools used across video, design, and storytelling applications. This is a rare opportunity to play a defining role at the ground floor of a deeply mission-driven company.
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.
- Optimize models using quantization, memory management, and distributed architecture for high-frequency use cases.
- Engineer backend systems capable of handling billions of requests while maintaining high fidelity and responsiveness.
- Collaborate cross-functionally to ensure artistic direction is embedded into system feedback loops.
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What We’re Looking For
- Proven experience in deep learning system architecture, especially with PyTorch or JAX.
- Strong foundation in ML design, training workflows, and model evaluation best practices.
- Demonstrated success turning experimental ML models into high-performance, user-facing applications.
- Broad familiarity with ML literature, with interest beyond just generative models.
- Ownership mindset, comfort with ambiguity, and desire to solve tough technical problems that don't yet have playbooks.
Ideal Candidate Traits
- Builder DNA: track record of hands-on creation from scratch, not just iteration.
- Mission alignment: excited about using AI to unlock new forms of human creativity.
- Long-term mindset: motivated by equity ownership and the impact of their contributions, not just cash comp.
- Open to relocation to NYC and ready to operate in a high-energy, startup environment.
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Compensation & Perks
- Competitive Base Salary
- Equity: Founding-level ownership
- Sponsorship: O-1/EB-1 visa sponsorship available for top-tier international talent
- Tools: Access to large-scale GPU clusters for experimentation and deployment
This team is selective, with a bias toward ambition, originality, and execution over pedigree. If you’re passionate about creative problem solving and believe in the potential of AI as a co-creator, this may be the most meaningful work you’ll ever do.
About Blue Signal:
Blue Signal is a leading executive search firm, specializing in engineering recruitment. Our engineering recruiting team has expertise placing high-performing talent in areas such as electrical, mechanical, civil, and telecom engineering. Learn more at bit.ly/46IAFRJ
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