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About the Role

The Generative ML Platform team at Snap Inc. builds cutting-edge AI technologies for creative, scalable experiences used by millions of Snapchatters. We develop the full stack of generative AI, including foundational models, efficient infrastructure, and inference solutions. This role focuses on developing innovative machine learning technology and products, building AR experiences with generative models, and delivering generative ML experiences on device.

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

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
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

Skills

Machine Learning
Neural Networks
Deep Learning
Generative Modeling
Mathematics
Machine Learning Algorithms
Computer Vision
TensorFlow
PyTorch
JAX
MLX
scikit-learn
Diffusion models
Distillation
Quantization
Model compression
GPU optimization
CPU optimization
NPU optimization
ML inference pipelines

Location

United States

Work Type

Onsite (4+ days per week)

Experience Level

8+ years post-Bachelor's experience
7+ years post-grad experience with Master's degree
4+ years post-grad experience with PhD

Education Level

Bachelor's degree in computer science, mathematics, statistics or equivalent
Master's degree in a technical field
PhD in a related technical field

Salary/Compensations

Zone A (CA, WA, NYC): $229,000-$343,000 annually
Zone B: $218,000-$326,000 annually
Zone C: $195,000-$292,000 annually

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 (RSUs)

About the Company

Snap Inc. is a technology company focused on improving the way people live and communicate through the camera.
The Company operates Snapchat, Specs Inc., Bitmoji, Saturn, and other digital services.
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide.
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.

Equal Opportunity

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).