Software Engineer, ML Infrastructure, Level 5
Software Engineer, ML Infrastructure, Level 5
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$ 209000 - 313000
1 Vacancy
Job Description
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world every day. Were deeply committed to the well-being of everyone in our global community which is why our values are at the root of everything we do. We move fast with precision and always execute with privacy at the forefront.
Were looking for a ML Infra Engineer to join Snaps Content Marketplace team. The Content Marketplace team owns critical re-ranking layers within the Content Recommender System supporting Snaps Content product offering including Friend Stories Discover Feed and Spotlight. The team builds large-scale ML/Ranking solutions to optimize both viewer-side and creator-side objectives directly contributing to Snaps overall Content business success.
What youll do:
Design implement and operate ML/Ranking feature generation pipelines and feature serving infrastructures
Work with Data Scientists and Data Engineering teams to build analytics metrics and iterate the Marketplace experimentation and evaluation framework
Work with XFN teams of SWEs and MLEs to build and deploy ML models for the Marketplace layer
Design and implement scalable distributed Content distribution systems
Work across teams to understand product requirements evaluate trade-offs and deliver the solutions needed to build innovative products
You evaluate appropriately test and debug your work striving for high quality
Advocate for and apply best practices when it comes to availability scalability operational excellence and cost management
Knowledge Skills & Abilities:
Experience with backend services or distributed systems
Experience with batch/streaming data pipeline
Experience with common data analytics skills - SQL dashboards etc.
Experience with large-scale user facing A/B testing framework
Experience with common ML Infra Dev and Ops. Although we dont require this role to have deep ML algorithmic expertise the candidate should understand the inputs and outputs of various ML components at training and inference stages and integrate them with the rest of Recommender system
You can independently execute on medium sized features taking a few weeks and multiple PRs to complete
You understand the operational aspects of your system and may participate in incident or hotfix investigation and resolution
Ability to collaborate and work well with others
Minimum Qualifications:
Bachelors Degree in a relevant technical field such as computer science or equivalent years of practical work experience
6 years of post-Bachelors software development experience; or Masters degree in a technical field 5 year of post-grad software development experience; or PhD in a relevant technical field 2 years of post-grad software development experience
Experience with distributed systems
Preferred Qualifications:
Domain expertise in Recommender System
Experience with working on similar Ranking/ML projects in the field of Content Recommendation Search Ads etc.
Experience with working on Data Infra or ML Infra supporting large-scale systems
If you have a disability or special need that requires accommodation please dont be shy and provide us some information.
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.
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.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).
Compensation
In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
The base salary range for this position is $209000-$313000 annually.This position is eligible for equity in the form of RSUs.
Employment Type
Full-Time
