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Software Engineer, Applied Machine Learning

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Software Engineer, Applied Machine Learning in USA new

  • San Francisco, CA

Responsibilities

  • Extend image, video, audio, and 3D generative models with new capabilities and modalities using conditioning, generation, editing, training-free methods, and fine-tuning.
  • Fine-tune generative models and build APIs that allow customers to customize models.
  • Develop reusable components, abstractions, and building blocks for model capabilities and inference pipelines.
  • Optimize inference for low latency, high throughput, and efficient GPU utilization.
  • Build, deploy, and maintain scalable and reliable generative model APIs.
  • Collaborate directly with customers to develop solutions for generative media use cases.

Requirements

  • 3+ years of professional experience as an Applied ML Engineer, including at least 1–2 years focused on generative media or computer vision.
  • Expert-level proficiency in Python and PyTorch.
  • Deep practical understanding of diffusion and flow-based generative models.
  • Hands-on experience with open-weight model ecosystems, including Hugging Face and Diffusers.
  • Experience designing training-free extensions for image, video, audio, or 3D generative models.
  • Experience developing custom model post-training or fine-tuning approaches.
  • Ability to design scalable, reliable, secure, safe, and performant production ML systems.
  • Startup or digital media and entertainment industry experience is a nice-to-have.
  • Demonstrated ability to independently take ambitious ML ideas from concept to production.

Benefits

  • Health, dental, and vision insurance in the US.
  • Regular team events and offsites.
  • Interesting and challenging work with learning and growth opportunities.
  • Compensation includes $180,000–$230,000 base salary plus equity and comprehensive benefits.

Salary: $180k - $230k/yr

fal

fal is a generative media platform that provides developers with access to the world's best generative image, video, and audio models through a unified API. Trusted by over 2.5 million developers and leading companies, fal offers the fastest inference engine for diffusion models, on-demand server...

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