Staff ML Engineer: Diffusion & Generative AI

Snap Inc.; New York (NY); Híbrido; USD 195 000 - 343 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

RSUs eligibility

Resumo da oferta

Snap Inc. is seeking a Staff Machine Learning Engineer to advance diffusion, generative modeling and inference capabilities across on-device and server-side systems. You will work on multimodal models powering AR and video experiences for hundreds of millions of Snapchatters.

You will develop innovative ML tech, build AR experiences with generative models, ensure efficient on-device inference, and partner with cross-functional teams to explore new products.

Qualificações

• Bachelors degree in a technical field (CS, math, stats) or equivalent experience.
• 8+ years post-Bachelor ML or related experience; or Masters +7+ years; or PhD +4+ years.
• Experience with Computer Vision or Generative Modeling techniques.
• Experience with ML frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn or similar.

Responsabilidades

• Develop innovative ML tech and products serving millions of Snapchatters.
• Build AR experiences using generative models.
• Deliver generative ML on device.
• Collaborate with cross-functional Snap teams to prototype new products.

Conhecimentos

Machine learning

Deep learning

Generative modeling

Mathematics

Collaboration

Independent work

Formação académica

Bachelors degree in technical field

8+ years post Bachelor's ML experience

Master's degree +7+ years ML experience

PhD +4+ years ML experience

Ferramentas

TensorFlow

PyTorch

JAX

MLX

scikit-learn

Descrição da oferta de emprego

Snap Inc. is seeking a Staff Machine Learning Engineer to advance diffusion, generative modeling and inference capabilities across on-device and server-side systems. You will work on multimodal models powering AR and video experiences for hundreds of millions of Snapchatters.

You will develop innovative ML tech, build AR experiences with generative models, ensure efficient on-device inference, and partner with cross-functional teams to explore new products.