AI SCORE 8.5

Machine Learning Engineer - Creative Systems Architect

$120K–$150K/year
RemoteCreative AIVisaRelocation

About the Role

We are seeking a Machine Learning Engineer - Creative Systems Architect to join our innovative team in New York City. This remote Machine Learning Engineer position offers a unique opportunity to work at the intersection of AI and creativity, developing groundbreaking systems designed for superhuman creative output.

What You'll Do

  • Build and scale machine learning 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.

Requirements

  • 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.

Nice to Have

  • 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 compensation.

What We Offer

  • 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.
  • Comprehensive relocation packages to help you move and settle in your new role.

This is a selective team that values ambition, originality, and execution. If you are passionate about creative problem-solving and believe in the potential of AI as a co-creator, this remote Machine Learning Engineer role may be the most meaningful work you'll ever do.

Why This Job8.5 of 10

This role offers a unique opportunity to work at the forefront of AI and creativity, with competitive compensation and equity.

Salary Range
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Bonus
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About Blue Signal Search

Explore Blue Signal Search careers in 2026 and uncover exciting job opportunities in remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to help you find your ideal position. Stay informed with the latest industry news and vacancy scores as you navigate your career journey at Blue Signal Search. Your future starts here!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in PyTorch and JAX for developing and optimizing complex machine learning models, with hands-on experience in building production-level systems for creative applications.

Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating strong time management skills and the ability to collaborate effectively with distributed teams.

Experienced in backend engineering, particularly with GPU clusters, showcasing a mindset focused on scalability and performance optimization of machine learning models.

Learning Resources

Deep Learning with PyTorch: A 60 Minute Blitzguide

Career Path

Machine Learning Engineer - Creative Systems Architect(Now)Senior Machine Learning Engineer(1-2 years)Lead AI Systems Architect(3-5 years)

Market Overview

Market Size 2024
$34.5B
Annual Growth
38.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+45%
Avg Salary
$120K

Skills & Requirements

Required
Machine LearningDeep LearningPyTorch
Growing in Demand
Natural Language Processing (NLP)Reinforcement LearningCloud Computing (AWS, Azure)
Declining
Traditional Statistical Analysis (e.g., SPSS)Simple Linear Regression Techniques

Domain Trends

Increased Use of Generative AI
Generative AI is projected to account for 50% of all machine learning applications by 2025, driving demand for engineers skilled in creative AI systems.
Expansion of Edge AI
The edge AI market is expected to grow at a CAGR of 28% from 2024 to 2029, emphasizing the need for machine learning engineers to optimize models for deployment on edge devices.
Focus on Sustainable AI Practices
By 2025, 60% of organizations will prioritize sustainable AI practices, leading to increased demand for engineers who can design energy-efficient models and optimize GPU usage.

Industry News

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