Senior Generative ML Engineer - On-Device AR & Vision

Snap Inc.; Bellevue (WA); On-site; USD 229,000 - 343,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

RSU equity

Job summary

Snap Inc. seeks a Machine Learning Engineer to join the Generative ML Platform team. You will develop innovative ML technologies and build AR experiences using generative models, with a focus on on-device inference and scalable systems across mobile, web, and wearables.

You will collaborate with cross-functional teams, stay current with ML research, and help drive new products from idea to prototype. A strong background in deep learning, generative modeling, and CV is required, along with

Qualifications

• Bachelor's degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience.
• 8+ years of post-Bachelor’s ML or related experience; or a Master’s +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 related frameworks.
• Preferred: Advanced degree; diffusion models; distillation/quantization/model compression; hardware optimization; ML inference pipelines.

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.

Skills

Machine learning

Neural networks

Deep learning

Generative modeling

Mathematics

Problem solving

Collaboration

Independent work

Education

Bachelor's degree in CS/math/statistics

Tools

TensorFlow

PyTorch

JAX

MLX

scikit-learn

Job description

Snap Inc. seeks a Machine Learning Engineer to join the Generative ML Platform team. You will develop innovative ML technologies and build AR experiences using generative models, with a focus on on-device inference and scalable systems across mobile, web, and wearables.

You will collaborate with cross-functional teams, stay current with ML research, and help drive new products from idea to prototype. A strong background in deep learning, generative modeling, and CV is required, along with