Machine Learning Product Engineer
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.
We’re looking for a Machine Learning Product Engineer to join our Perception team at Snap Inc! Working from our Seattle office, you’ll collaborate with engineers and designers to find ways to apply machine learning and deep learning to create exciting products and breakthrough interactive experiences for millions of Snapchatters around the world.
What you’ll do:
Develop machine learning and deep learning solutions across the entire machine learning workflow from data collection to model training, and solve visual recognition tasks such as classification, detection, and segmentation
Optimize deep neural networks to run efficiently on mobile devices
Apply findings from cutting edge research to help solve challenging product problems
Work with product teams and engineers to make applications of computer vision ubiquitous to Snapchat
Knowledge, Skills & Abilities:
Ability to read and implement related academic literature in deep learning and computer vision
Solid understanding of the production machine learning workflow
Bachelor’s degree in a technical field such as computer science or equivalent experience
2+ years of industry engineering or research and development experience
Industry experience with one or more of the following: deep learning, large-scale visual search, image classification, object detection, semantic segmentation
Experience with TensorFlow, PyTorch, or related deep learning framework
Masters/PhD in a technical field such as computer science or equivalent industry experience
5+ years of industry engineering or research and development experience
Publications in top-tier conferences such as CVPR, ICCV, ECCV, NIPS, ICML
Experience building large-scale machine learning systems or computer vision applications
A passion for Snapchat and creativity!
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].