Senior ML Engineer - Generative AI & On-Device AR

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

Benefits offered by this job

Equity (RSUs)

Comprehensive medical coverage

Job summary

Snap Inc. seeks a Machine Learning Engineer to develop innovative ML technology serving millions of Snapchatters and to build AR experiences using generative models.

The role emphasizes delivering on‑device generative ML experiences and collaborating with cross‑functional teams to prototype new products. The candidate should have a passion for ML, deep learning, and neural networks, plus strong math foundations and a drive to solve open problems.

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 machine learning or related experience; or a Master’s degree + 7+ years; or a PhD + 4+ years of post‑grad ML experience.
• Experience with Computer Vision or Generative Modeling techniques.
• Experience working with ML 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.

Skills

Neural Networks

Deep Learning

Generative Modeling

Mathematics

Open problems

Collaboration

Independent work

Education

Bachelor's degree in computer science, mathematics, statistics or related field

Master’s degree or PhD in related field (preferred)

Tools

TensorFlow

PyTorch

JAX

MLX

scikit-learn

Job description

Snap Inc. seeks a Machine Learning Engineer to develop innovative ML technology serving millions of Snapchatters and to build AR experiences using generative models.

The role emphasizes delivering on‑device generative ML experiences and collaborating with cross‑functional teams to prototype new products. The candidate should have a passion for ML, deep learning, and neural networks, plus strong math foundations and a drive to solve open problems.