Machine Learning Engineer, Generative ML , Level 5

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 Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.

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 our Generative ML team!

What youll do:

• Develop innovative machine learning technology and products that serve millions of Snapchatters

• Work on state of the art GenAI pipelines for image video and audio generation

• Deliver generative machine learning experiences on device

• Build cutting-edge augmented reality experiences using generative and diffusion models

• 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

• Strong software development skills in Python or C

• Proficiency working with major deep learning frameworks: PyTorch or TensorFlow

• Knowledge of mathematics and deep learning foundations

• 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 a technical field such as computer science mathematics statistics or equivalent years of experience

• 5 years of post-Bachelors machine learning experience; or Masters degree in a technical field 4 year of post-grad machine learning experience; or PhD in a relevant technical field 1 years of post-grad machine learning experience

• Research or engineering experience in one or more of the following: generative models efficient models segmentation object detection classification tracking or other related applications of machine learning

Preferred Qualifications:

• Masters degree or PhD in a related technical field

• Experience developing real-time software for mobile applications

• Knowledge of GenAI especially image video and audio generation foundations

• Knowledge of efficient model foundations

• Track record of successful projects in GenAI field

• Examples of your work such as open source projects blog posts Kaggle contests top conference or journal publications etc.

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: