Software Engineer, Applied Machine Learning

Highlights

• Own the model layer powering next-gen generative media platform at scale.
• Extend SOTA open-source image, video, audio, and 3D models with new capabilities.
• Build novel conditioning, editing, and fine-tuning pipelines for production APIs.

What they offer

• Health, dental, and vision insurance (US)
• Learning and growth opportunities
• Regular team events and offsites
• Equity

Ideal candidate

Production-focused ML builder with 3+ years experience who loves bridging research and real products. You thrive in fast-paced startups, own ideas end-to-end, and care about scalable generative media for creative customers.

Requirements

• 3+ years as Applied ML Engineer with 1-2 years in 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 ecosystems including Hugging Face and Diffusers
• Ability to design scalable, reliable and performant ML production systems
• Experience with training-free extensions and post-training/fine-tuning of generative models