Staff Software Engineer, Machine Learning Infrastructure, AI Training Platform, 11+ Years of Experience - Snap Inc.
Palo Alto, CA
About the Job
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 Company’s 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. We’re 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.
We’re looking for a Staff Software Engineer, Machine Learning Infrastructure to join the AI Training Platform (aka Bento) Team at Snap Inc!
What you’ll do:
+ Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows for advanced deep learning problems
+ Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud such as Vertex AI, Google Kubernetes Engine (GKE) and Sagemaker
+ Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
+ Work with product teams and engineers to make applications of machine learning ubiquitous to Snapchat
Knowledge, Skills & Abilities:
+ 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
+ A passion for Snapchat and creativity
Minimum Qualifications:
+ Bachelor’s degree in a technical field such as computer science or equivalent experience
+ 11+ years industry software engineering experience
+ Experience building large scale production machine learning systems or data pipelines
Preferred Qualifications:
+ Masters/PhD in a technical field such as computer science or equivalent industry experience
+ Familiarity with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
+ Experience with distributed training runtime and infrastructure
+ Experience with building and managing scalable ML infrastructure on cloud platforms
+ Experience in MLOps and automations expertise in building, deploying and maintaining models
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .
"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.
Our Benefits (http://careers.snap.com/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 parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s 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 candidate’s 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 $222,000-$333,000 annually.
Zone B (https://careers.snap.com/us-payzones) :
The base salary range for this position is $211,000-$316,000 annually.
Zone C (https://careers.snap.com/us-payzones) :
The base salary range for this position is $189,000-$283,000 annually.
This position is eligible for equity in the form of RSUs.
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)
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. We’re 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.
We’re looking for a Staff Software Engineer, Machine Learning Infrastructure to join the AI Training Platform (aka Bento) Team at Snap Inc!
What you’ll do:
+ Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows for advanced deep learning problems
+ Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud such as Vertex AI, Google Kubernetes Engine (GKE) and Sagemaker
+ Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
+ Work with product teams and engineers to make applications of machine learning ubiquitous to Snapchat
Knowledge, Skills & Abilities:
+ 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
+ A passion for Snapchat and creativity
Minimum Qualifications:
+ Bachelor’s degree in a technical field such as computer science or equivalent experience
+ 11+ years industry software engineering experience
+ Experience building large scale production machine learning systems or data pipelines
Preferred Qualifications:
+ Masters/PhD in a technical field such as computer science or equivalent industry experience
+ Familiarity with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
+ Experience with distributed training runtime and infrastructure
+ Experience with building and managing scalable ML infrastructure on cloud platforms
+ Experience in MLOps and automations expertise in building, deploying and maintaining models
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .
"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.
Our Benefits (http://careers.snap.com/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 parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s 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 candidate’s 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 $222,000-$333,000 annually.
Zone B (https://careers.snap.com/us-payzones) :
The base salary range for this position is $211,000-$316,000 annually.
Zone C (https://careers.snap.com/us-payzones) :
The base salary range for this position is $189,000-$283,000 annually.
This position is eligible for equity in the form of RSUs.
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)
Source : Snap Inc.