Machine Learning Infrastructure Engineer, New Grad at Snap Inc.
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 Infrastructure Engineer to join our Perception team at Snap Inc! Working from our New York City office, you’ll work on infrastructure that enables machine learning product teams to develop advanced deep learning and computer vision solutions that power exciting products and breakthrough interactive experiences for millions of Snapchatters across the world.
What you’ll do:
Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows for advanced deep learning and computer vision problems
Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference on mobile devices
Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
Work with product teams and engineers to make applications of computer vision ubiquitous to Snapchat
Knowledge, Skills & Abilities:
Knowledge of model optimization and compression techniques
Solid understanding of the production machine learning workflow
Bachelor’s degree in a technical field such as computer science or equivalent experience
Experience with TensorFlow, PyTorch, or related deep learning frameworks
Experience with backend services or distributed systems
Masters/PhD in a technical field such as computer science or equivalent industry experience
Experience working with hardware acceleration libraries (e.g. CUDA, Metal, BLAS, vDSP, etc.)
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected]