Machine Learning Engineer

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San Francisco / $260000 - $300000 annum

INFO

Salary
SALARY:

$260000 - $300000

Location

LOCATION

San Francisco

Job Type
JOB TYPE

Permanent

MACHINE LEARNING ENGINEER - MULTIMODAL AI

FULLY REMOTE

$260,000 - $325,000

An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.

You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.


THE COMPANY

The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.


THE ROLE

Hands-on engineering role focused on developing and deploying advanced ML models.

  • Develop computer vision and generative AI models for image and video

  • Prototype and iterate on research solutions under tight timelines

  • Collaborate with engineering, product, and research teams to productionize models

  • Ensure clean, maintainable, and high-performance code


YOUR SKILLS & EXPERIENCE

  • 5+ years in ML, computer vision, graphics, or related research/engineering roles

  • Strong programming skills; experience with CUDA and C++ for performance optimizations

  • Experience with at least one ML framework (PyTorch, TensorFlow)

  • Deep interest in human-in-the-loop systems for creativity

  • Ability to rapidly prototype and iterate on solutions

  • Excellent collaboration, communication, and documentation skills


HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

CONTACT

Calum Reid

Senior Manager

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