Staff Machine Learning Engineer, Generative AI Modeling and Inference
About The Position
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference. Our team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. We’re looking for a Machine Learning Engineer to join Snap Inc!
Requirements
- A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
- Familiarity with Neural Networks and Deep Learning and Generative Modeling
- Deep understanding of mathematics and/or machine learning algorithms
- Desire to solve open ambiguous problems
- Desire to grow professionally, learn and help others
- Ability to effectively collaborate with internal teams and external partners
- Ability to work independently
- 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
Nice To Haves
- Advanced degree in computer science or related field
- Experience training large-scale diffusion models for images, videos or 3D
- Knowledge of distillation, quantization and model compression techniques
- Knowledge of GPU, CPU, or NPU optimization techniques
- Experience building and optimizing ML inference pipelines
- Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
