Talantix.io
jobster•09.02.26
AI SCORE 8.5

Machine Learning Engineer/​Researcher - AI-Powered Creative Tools

$90K–$130K/year
RemoteAI/Big DataVisaRelocation
PyTorch•JAX•Machine Learning•Deep Learning•Computer Vision•Generative Models

About the Role

We are looking for a talented Machine Learning Engineer/Researcher to join our team and help build the future of AI-powered creative tools. This Machine Learning Engineer remote position is an exciting opportunity to work at the intersection of art and technology, turning cutting-edge research into production-ready technology that empowers creators worldwide.

What You'll Do

  • Develop and implement multi-stage inference systems for video, text, images, audio, and 3D content with real-time feedback and refinement.
  • Utilize your deep knowledge of modern deep learning architectures to optimize and enhance creative content generation processes.
  • Collaborate with leading researchers and artists to advance the state of the art in computational creativity.
  • Invent new methods for creative reasoning and artistic decision-making, pushing the boundaries of what machines can achieve.
  • Build computer vision systems that generate studio-grade content and empower users with professional editing tools.

Requirements

  • Proficiency in PyTorch or JAX, with experience in designing, training, and evaluating deep learning systems.
  • Strong understanding of machine learning fundamentals, including math, probability, and optimization.
  • PhD in Computer Science or Machine Learning preferred, with a proven track record of advancing the field.
  • Experience developing computer vision models for images and video, particularly in generative media.
  • Ability to work collaboratively in a fast-paced environment and contribute to innovative projects.

Nice to Have

  • Publications in top-tier conferences such as NeurIPS, ICML, or AAAI.
  • Experience with generative models for video and creative content generation.

What We Offer

  • Competitive salary ranging from $90,000 to $130,000 annually.
  • Relocation support to help you move to the United Kingdom.
  • Access to world-class compute resources and tools.
  • Opportunity to collaborate with leading experts in the field.
  • Inclusive work environment that encourages diversity and supports accessibility needs.
Why This Job8.5 of 10

This Machine Learning Engineer/Researcher role offers a unique opportunity to work on innovative AI projects with relocation support and a competitive salary.

Salary Range
Required
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Optional
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Bonus
0/1

About jobster

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Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficiency in PyTorch and JAX for building and optimizing deep learning models, with hands-on experience in implementing generative models for creative applications.

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Strong self-motivation and ability to work independently in a remote setting, demonstrating discipline in managing time and project deadlines while collaborating effectively with cross-functional teams.

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A research-oriented mindset with a solid understanding of computer vision techniques and machine learning algorithms, complemented by practical experience in transitioning experimental models into scalable production systems.

Learning Resources

→Deep Learning with PyTorch: A 60 Minute Blitzguide
→JAX: NumPy on the GPUguide
→Machine Learning for Artistsarticle

Career Path

Machine Learning Engineer/Researcher - AI-Powered Creative Tools(Now)→Senior Machine Learning Engineer/Researcher(2-4 years)→Lead Machine Learning Engineer/Researcher or AI Product Manager(4-6 years)

Market Overview

Market Size 2024
$35B
Annual Growth
23.5%
AI Adoption in Creative Tools
62%
Investment in AI-Powered Tools
+150%
Labour Demand for ML Engineers
+40%
Avg Salary for ML Engineers
$120K

Skills & Requirements

Required
PyTorchJAXMachine Learning
Growing in Demand
TensorFlowNatural Language Processing (NLP)Reinforcement Learning
Declining
TheanoScikit-learn (for basic models)

Domain Trends

Rise of Generative AI
Generative models are projected to dominate the AI landscape, with a 45% increase in use cases across creative industries by 2025.
Integration of AI in Creative Workflows
Over 70% of creative teams are adopting AI-powered tools to enhance productivity and innovation, indicating a shift towards AI-assisted creativity.
Demand for Explainable AI
With 55% of organizations prioritizing transparency in AI, skills in explainable AI are becoming essential for ML professionals.

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