Senior ML Engineer: Diffusion & Generative Modeling

Snap; New York (NY); On-site; USD 229,000 - 343,000; Full time

Benefits offered by this job

RSU equity

Job summary

Snap Inc. is seeking a Machine Learning Engineer to join the Generative ML Platform team. You will develop innovative ML technologies and AR experiences for millions of Snapchatters, focusing on on-device inference and scalable models.

The role requires deep expertise in neural networks, generative modeling, and ML frameworks like TensorFlow and PyTorch. You will collaborate across squads and partner with external teams to prototype new products, while staying ahead of research and industry

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 8+ years of post‑Bachelor’s ML experience, or PhD + 4+ years of post‑grad ML experience.
• Experience with computer vision or generative modeling techniques.
• Experience with ML frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit‑learn.

Responsibilities

• Develop innovative ML technology and products that serve millions of Snapchatters.
• Build cutting‑edge AR experiences using generative models.
• Deliver generative ML experiences on device.
• Partner with cross‑functional Snap teams to prototype new products.

Skills

Machine learning

Deep learning

Generative modeling

Neural networks

Mathematics

Collaboration

Independent work

Education

Bachelor's degree in CS/Math/Statistics

MS or PhD in a technical field

Relevant post‑Bachelor ML experience

Tools

TensorFlow

PyTorch

JAX

MLX

scikit-learn

Job description

Snap Inc. is seeking a Machine Learning Engineer to join the Generative ML Platform team. You will develop innovative ML technologies and AR experiences for millions of Snapchatters, focusing on on-device inference and scalable models.

The role requires deep expertise in neural networks, generative modeling, and ML frameworks like TensorFlow and PyTorch. You will collaborate across squads and partner with external teams to prototype new products, while staying ahead of research and industry