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.
Snap’s Augmented Reality team invents the immersive (and fun!) camera experiences that are at the core of our products. From developing creative new Lens features for Snapchat, to supporting the continuous growth and evolution of Lens Studio (our platform for an ever-increasing community of AR creators), to designing the cutting-edge computer vision and machine learning technology that makes face transformation Lenses possible — our Augmented Reality team is working hard on their mission to bring AR to more people, places, and moments, every day.
We’re looking for a Machine Learning Infrastructure Engineer to join our Augmented Reality team!
What you’ll do:
Build infrastructure that powers Snap’s augmented reality platform
Work closely with product teams to build recommendation system for AR Lenses
Own and drive high-level features from planning through implementation
Be involved in all stages of the software development lifecycle
Solve complex technical challenges that will impact millions of Snapchat users daily
Perform code reviews and ensure exceptional code quality
Collaborate with design, product, and engineering teams to develop groundbreaking technologies
Knowledge, Skills & Abilities:
Knowledge of practical application of computer science and engineering fundamentals to the design and production of a software product
Ability to evaluate and understand the technical trade offs 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 years of experience
3+ years of software development experience
Experience with Java and/or Python
Experience working with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML, or related frameworks
Experience working with high load services and data processing
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]
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 maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!