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’s 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 it's AR glasses, Spectacles.

Snap Research serves as an innovation engine for the company. Their projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products. They also frequently publish the results of this innovative work to top research conferences and journals in the computer science field.

We are looking for a passionate Research Scientist to join our Generative AI effort at Creative Vision. Our mission is not just to turn everyone into a creator, but to redefine what it means to create. By deeply understanding our users and the world around them, we enable technology to produce creative content that feels personal and meaningful. This isn't just about shaping the future of Snap—it's about reimagining creativity in the digital age.

What you’ll do:

• Lead and execute a multi-year research agenda in Generative AI

• Work on large-scale generative projects

• Share your expertise with other teammates and interns

• Publish your findings at top conferences, ensuring Creative Vision stays at the forefront of AI innovation

• Partner with engineering teams to deliver your technology to millions of Snapchatters

Knowledge, Skills & Abilities:

• Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep learning literature

• Demonstrated ability in defining, leading and driving challenging research projects

• Strong computer science fundamentals, problem solving skills, programming (Python, C, C++)

• Proven ability to lead and mentor interns, PhD students, and junior researchers

Minimum Qualifications:

• PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience

• Experience with large scale generative computer vision, machine learning, deep learning, or graphics in an academic or industrial research lab

• Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH)

Preferred Qualifications:

• Demonstrated ability to transform cutting-edge research into tangible product improvements

• Hands-on experience with state-of-the-art generative models such as GANs, diffusion models, VAEs, and other emerging techniques

• Specialization or a strong interest in generating or modifying human faces, understanding nuances and ensuring high fidelity in generated outputs

• Familiarity with best practices in large-scale data collection and annotation

Compensation

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

• Zone A (CA, WA, NYC): The base salary range for this position is $175,000 - $250,000 annually

• Zone B: The base salary range for this position is $166,000 - $238,000 annually

• Zone C: The base salary range for this position is $149,000 - $213,000 annually

This position is eligible for equity in the form of RSUs

"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 at least 80% of the time (an average of 4 days per week). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.

Our Benefits: Snap Inc. is its own community, so we’ve 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 Snap’s long-term success!