Machine Learning Engineer - Computer Vision

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 its AR glasses, Spectacles.

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 its AR glasses, Spectacles.

Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!  

We’re looking for Machine Learning/Computer Vision Engineers to join our Generative ML Platform team at Snap Inc! 

What you’ll do:

You will have experience in 3D human body/face reconstruction and/or human-centric generative image/video synthesis, as a member of our 3D Human Reconstruction team you’ll work on creating new ways to employ computer vision to give Snapchatters exciting new tools and develop new human-centric Augmented Reality and Generative AI use cases. Additionally, you will: 

• Develop state of the art computer vision algorithms for 3D human body reconstruction to power AR effects on Snapchat and Spectacles.

• Develop computer vision systems for 3D human face tracking and reconstruction to power AR facial effects.

• Develop state of the art Generative AI pipelines for human-centric image and video generation.

• Learn new techniques with the full support of your peers and stay on the cutting edge of Computer Vision and Generative AI.

• Participate in our strong culture of mentoring as part of a world-class team of researchers and engineers.

• Introduce innovations leading to product features or new areas of business.

• Be involved at all stages of system development: conceptualization, prototyping, productionisation.

• Work closely with other Snap teams to introduce, prototype and launch new products.

Knowledge, Skills & Abilities:

• A passion for computer vision machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly.

• Knowledge of mathematics and deep learning foundations.

• Excellent programming skills.

• Effective communications and interpersonal skills.

• Ability to effectively collaborate with other Snap teams.

• Ability to work independently.

Minimum Qualifications: 

• Masters degree and/or PhD and industry experience in CV/ML for 3D human reconstruction for body/face/hands or GenAI-based image/video generation.

• Strong programming skills in Python and/or C++.

• Experience with the major deep learning frameworks: PyTorch or TensorFlow.

Preferred Qualifications:

• Related publications in top-tier conferences (CVPR/ICCV/ECCV/NeurIPS).

• Development or contributions to open source projects or Kaggle contests.

• Experience and passion for wearable devices or VR/AR glasses.

• Experience with C++ programming and CNN inference on mobile phones.

If you have a disability or special need that requires accommodation, please don’t 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.

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!