Full Job Description
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 Engineer to join our Monetization Team! Our Monetization team builds Snap’s revenue platform and are responsible for providing Snapchat’s solutions for businesses and for maximizing monetization across the service. In this role, you will build Machine Learning models and end-to-end systems to understand all the content on Snapchat to help show the most relevant ads and stories to snapchatters; ensure all the ads comply with our advertising policies; and detect/prevent fraud to keep Snapchat safe for snapchatters and businesses.
What you’ll do:
Create models which help drive value for users, advertisers, and our company
Evaluate the technical tradeoffs of every decision
Perform code reviews and ensure exceptional code quality
Build robust, lasting, and scalable services
Iterate quickly without compromising quality
Knowledge, Skills & Abilities:
Strong understanding of Machine Learning approaches and algorithms (Computer Vision, Natural Language Processing preferable)
Ability to prioritize tasks and work independently
Excellent verbal and written communication skills, with high attention to detail
Experience collaborating with internal and external stakeholders at all levels of the company
Experience in solving open ambiguous problems from end to end
Possesses a desire to learn and help others
Minimum Qualifications:
BS/BA degree in technical field such as Computer Science, Mathematics, Statistics or equivalent years of experience
3+ years ML industry experience or or PhD in computer science, mathematics, statistics, physics or related field
Preferred Qualifications:
Experience working with Machine Learning (Computer Vision, Natural Language Processing preferable), and system design
Experience working with Machine Learning frameworks such as TensorFlow, Caffe2, PyTorch, or related frameworks
Experience working with large scale distributed systems
M.S. degree and/or PhD in computer science or related field
Ability to proactively learn new concepts and apply them at work
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 accommodations-ext@snap.com .
