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Machine Learning Engineer

Job Description

Machine Learning Engineer

Company: Harnham

Location: San Francisco, CA

  • Remote

Type: Full-time

Posted: 10 hours ago

Job Description

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.

About Harnham

  • Company size: 51 - 200 Employees
  • Headquarters location: New York, NY, US
  • Year founded: 2006

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