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Staff Machine Learning Engineer, Diffusion, Generative Modeling and Inference

Snap Inc.· Snap Product R&D / Generative ML Platform
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Hybrid (Bellevue, WA / Los Angeles, CA / New York, NY / Palo Alto, CA / Seattle, WA)$195k - $343k + equityFull timePosted 2mo ago

About the role

Machine Learning Engineer focusing on diffusion, generative modeling, and inference to build on-device and server-side generative AI capabilities for Snapchat and related products.

Responsibilities

  • Develop innovative machine learning technology and products that serve millions of Snapchatters
  • Build cutting-edge augmented reality experiences using generative models
  • Deliver generative machine learning experiences on device
  • Partner with cross-functional Snap teams to explore and prototype new products

Qualifications

  • Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
  • 8+ years of post-Bachelor’s machine learning or related experience; or a Master’s degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience
  • Experience with Computer Vision or Generative Modeling techniques
  • Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks

Skills

Required:Machine LearningNeural NetworksGenerative ModelingMathematics / ML AlgorithmsCollaborationIndependent Work

Benefits

  • paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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