Staff Machine Learning Engineer, Generative AI Modeling and Inference

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together.

The Company operates Snapchat a visual messaging app that enhances your relationships with friends family and the world and Specs Inc. a wholly-owned subsidiary dedicated to making computing more human in addition to Bitmoji Saturn and other digital services.

Snaps Generative ML Platform team builds cutting-edge AI technologies that power creative scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR human understanding and 3D content creation 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.

Were looking for a Machine Learning Engineer to join Snap Inc!

What youll do:

• 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

Knowledge Skills & Abilities:

• 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

Minimum Qualifications:

• Bachelors degree in technical field such as computer science mathematics statistics or equivalent years of experience

• 8 years of post-Bachelors machine learning or related experience; or a Masters 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

Preferred Qualifications:

• 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

• Experience working with machine learning frameworks such as TensorFlow PyTorch JAX MLX scikit-learn or related frameworks

If you have a disability or special need that requires accommodation please dont be shy and provide us some information.

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.

At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. 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).

Our Benefits: Snap Inc. is its own community so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy on your own terms. Our benefits are built around your needs and include paid parental leave comprehensive medical coverage emotional and mental health support programs and compensation packages that let you share in Snaps long-term success!

Compensation

In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA WA NYC):

Zone B:

Zone C: