Machine Learning Engineer, Consumer Gen AI Product Engineering

Snap Snap · Consumer · London, United Kingdom

Machine Learning Engineer focused on building and shipping consumer-facing Generative AI products, specifically for image and video generation and editing, and LLMs, within the augmented reality space. The role involves developing ML products, building GenAI pipelines, integrating models into production, and evaluating new AI technologies.

What you'd actually do

  1. Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs
  2. Build cutting-edge augmented reality experiences with diffusion/flow matching models
  3. Work on state of the art GenAI pipelines for image and video generation. Ship a consumer-facing solution within weeks
  4. Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback
  5. Actively monitor the market and research landscape for new developments in Gen AI, evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap’s products at the cutting edge

Skills

Required

  • Machine Learning
  • Python or C++
  • neural rendering
  • generative models
  • segmentation
  • object detection
  • classification
  • tracking
  • deep learning
  • computer vision

Nice to have

  • computer graphics foundations
  • visual Gen AI models for Image and Video generation and Editing
  • evaluating the visual quality of Image and Video models
  • successful projects in GenAI field
  • proactively learn new concepts and apply them at work

What the JD emphasized

  • image and video generation and editing
  • LLMs
  • diffusion/flow matching models
  • GenAI pipelines for image and video generation
  • consumer-facing solution
  • evaluate open-source GenAI models and APIs

Other signals

  • Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis
  • Build cutting-edge augmented reality experiences with diffusion/flow matching models
  • Work on state of the art GenAI pipelines for image and video generation. Ship a consumer-facing solution within weeks