Software Engineer, Backend (Machine Learning Infrastructure) 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.
We’re looking for a Machine Learning Infrastructure Engineer to join Snap Inc! As a member of our Camera Platform (AR) team, you will be tasked with solving interesting technical challenges such as architect and deploying infrastructure to handle our scale, work on infrastructure that enables growing population of users interacting with Snapchat’s camera and high quality AR features.
What you’ll do:
Perform code reviews and ensure exceptional code quality
Build robust, lasting, and scalable products
Iterate quickly without compromising quality
Work closely with product team to build recommendation system for lenses
Knowledge, Skills & Abilities:
Knowledge of practical application of computer science and engineering fundamentals to the design and production of a software product
Evaluate and understand the technical tradeoffs of every decision
Strong understanding of machine learning approaches and algorithms
Ability to prioritize tasks and work independently
BA/BS in a technical field such as Computer Science (or equivalent experience)
3+ years of software development experience
3 years experience coding in either Java OR Python
Experience working with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML, or related frameworks
3+ years of experience working with high load services and data processing
3+ years of experience working with recommendation or machine learning systems
Experience working with distributed systems
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].