Snap
Overview
Snap Inc (https://www.snap.com/en-US/) 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 (https://www.snapchat.com/), a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio), an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (https://www.spectacles.com/). Snap Engineering (https://eng.snap.com/) 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 (https://eng.snap.com/values) are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. Youll play a critical role in scaling our ML Infrastructure, building and scaling feature/training data platform, advancing ML quality & insights, and driving innovations that make Snapchats ranking and recommendation systems more efficient and impactful. Were looking for a Software Engineer, ML Infrastructure to join Snap Inc., as part of the ML Data team that builds the foundational data platforms powering Snaps machine learning. The team develops and maintains large-scale systems for feature and training data, ensures data quality and lineage across the ML lifecycle, and drives continuous efficiency improvements to support Snaps ML growth. What youll do Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchats ML Infrastructure
Build and enhance feature/training data generation pipelines that power online inferencing and offline training/experimentation
Build platform/infrastructure to support embedding, user sequence and other feature types to support business growth
Build and expand the end to end ML model/data quality platform to enhance model debuggability and team accountability
Build holistic ML insights by cataloging metadata and lineage through ML lifecycle
Work closely with ML engineers to deploy cutting-edge models into production
Knowledge, Skills & Abilities
Strong programming skills in Python, Java, Scala or C++ Strong problem-solving skills with a focus on system performance, scalability, and efficiency
Deep understanding of distributed systems and the infrastructure components of large-scale ML
Experience with big data processing frameworks such as Spark, Flink, or Ray
Ability to collaborate and work well with others
Proven track record of operating highly-available systems at significant scale
Ability to proactively learn new concepts and apply them at work
Minimum Qualifications
Bachelors degree in a technical field such as computer science or equivalent experience
2+ years of post-Bachelors software development experience; or Masters degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field
Experience building large scale production machine learning systems, distributed systems or big data processing
Preferred Qualifications
Masters/PhD in a technical field such as computer science or equivalent industry experience
Experience working on large scale feature platform
Experience working on large scale training data preprocessing infrastructure
Deep expertise in understanding end to end ML lifecycle and ML quality
If you have a disability or special need that requires accommodation, please dont be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform). Default Together
"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). Benefits & Compensation
Our Benefits (http://careers.snap.com/benefits) : Snap Inc. is its own community, so weve 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 parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snaps long-term success! 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. Zone A (CA, WA, NYC) (https://careers.snap.com/us-payzones) : The base salary range for this position is $157,000-$235,000 annually. Zone B (https://careers.snap.com/us-payzones) : The base salary range for this position is $149,000-$223,000 annually. Zone C (https://careers.snap.com/us-payzones) : The base salary range for this position is $133,000-$200,000 annually. This position is eligible for equity in the form of RSUs. Additional Resources
A Decade of Snap
(https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp) : Learn about our origin story, values, mission, culture of innovation, and more. CitizenSnap
(https://citizen.snap.com/) : In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward. The DEI Innovation Summit
(https://actreport.com/dei-innovation-summit-2022/) : Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action. Snap News
(https://newsroom.snap.com/) : Stay up to date on the latest and greatest product and innovation news at Snap Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf) #J-18808-Ljbffr
Snap Inc (https://www.snap.com/en-US/) 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 (https://www.snapchat.com/), a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio), an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (https://www.spectacles.com/). Snap Engineering (https://eng.snap.com/) 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 (https://eng.snap.com/values) are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. Youll play a critical role in scaling our ML Infrastructure, building and scaling feature/training data platform, advancing ML quality & insights, and driving innovations that make Snapchats ranking and recommendation systems more efficient and impactful. Were looking for a Software Engineer, ML Infrastructure to join Snap Inc., as part of the ML Data team that builds the foundational data platforms powering Snaps machine learning. The team develops and maintains large-scale systems for feature and training data, ensures data quality and lineage across the ML lifecycle, and drives continuous efficiency improvements to support Snaps ML growth. What youll do Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchats ML Infrastructure
Build and enhance feature/training data generation pipelines that power online inferencing and offline training/experimentation
Build platform/infrastructure to support embedding, user sequence and other feature types to support business growth
Build and expand the end to end ML model/data quality platform to enhance model debuggability and team accountability
Build holistic ML insights by cataloging metadata and lineage through ML lifecycle
Work closely with ML engineers to deploy cutting-edge models into production
Knowledge, Skills & Abilities
Strong programming skills in Python, Java, Scala or C++ Strong problem-solving skills with a focus on system performance, scalability, and efficiency
Deep understanding of distributed systems and the infrastructure components of large-scale ML
Experience with big data processing frameworks such as Spark, Flink, or Ray
Ability to collaborate and work well with others
Proven track record of operating highly-available systems at significant scale
Ability to proactively learn new concepts and apply them at work
Minimum Qualifications
Bachelors degree in a technical field such as computer science or equivalent experience
2+ years of post-Bachelors software development experience; or Masters degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field
Experience building large scale production machine learning systems, distributed systems or big data processing
Preferred Qualifications
Masters/PhD in a technical field such as computer science or equivalent industry experience
Experience working on large scale feature platform
Experience working on large scale training data preprocessing infrastructure
Deep expertise in understanding end to end ML lifecycle and ML quality
If you have a disability or special need that requires accommodation, please dont be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform). Default Together
"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). Benefits & Compensation
Our Benefits (http://careers.snap.com/benefits) : Snap Inc. is its own community, so weve 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 parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snaps long-term success! 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. Zone A (CA, WA, NYC) (https://careers.snap.com/us-payzones) : The base salary range for this position is $157,000-$235,000 annually. Zone B (https://careers.snap.com/us-payzones) : The base salary range for this position is $149,000-$223,000 annually. Zone C (https://careers.snap.com/us-payzones) : The base salary range for this position is $133,000-$200,000 annually. This position is eligible for equity in the form of RSUs. Additional Resources
A Decade of Snap
(https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp) : Learn about our origin story, values, mission, culture of innovation, and more. CitizenSnap
(https://citizen.snap.com/) : In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward. The DEI Innovation Summit
(https://actreport.com/dei-innovation-summit-2022/) : Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action. Snap News
(https://newsroom.snap.com/) : Stay up to date on the latest and greatest product and innovation news at Snap Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf) #J-18808-Ljbffr