Research Scientist, Generative AI

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 , a visual messaging app that enhances your relationships with friends, family, and the world;

, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .serves as an innovation engine for the company. Our 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.

We are looking for a Research Scientist to join the Creative Vision Research Team! At Creative Vision, we focus on making everyone into a creator. We believe creativity is achieved when technology understands the world, humans and objects, provides a range of creative generation and manipulation tools and efficient real-time experiences. Our technology impacts and contributes to multiple products t you’ll do:
* Lead and execute a multi-year research agenda
* Work on large-scale multimodal generative projects
* Share your expertise with other teammates and interns
* Publish your work to top conferences
* Partner with engineering teams to deliver your technology to millions of Snap chatters 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 executing challenging research projects
* Strong computer science fundamentals, problem solving skills, programming (Python, C, C++)
* Proven ability to lead 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
* Strong theoretical foundations of generative AI and practical experience training, tuning, and modifying generative models
* Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH)

Preferred Qualifications:

* Proven ability to impact product with cutting edge research technology
* Experience with multimodal machine learning, involving images, videos, audio, text, speech
* Knowledge of 3D computer vision, non-rigid and articulated 3D registration and synthesis
* Experience with large-scale data collection and annotation best practices

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some ."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…