Posted:
10/24/2024, 11:33:45 AM
Location(s):
New York, United States ⋅ Seattle, Washington, United States ⋅ California, United States ⋅ Los Angeles, California, United States ⋅ New York, New York, United States ⋅ San Francisco, California, United States ⋅ Palo Alto, California, United States ⋅ Bellevue, Washington, United States ⋅ Washington, United States ⋅ Nebraska, United States
Experience Level(s):
Mid Level
Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
On-site
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 Company’s 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. We’re 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.
We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!
What you’ll do:
Leverage machine learning, information retrieval and big data processing technologies to empower ranking, recommendation, and content experiences
Design, implement, and operate our most critical and scalable services
Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows
Create comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud
Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products
Knowledge, Skills & Abilities:
Excellent programming and software design skills, including debugging, performance analysis, and test design
Proficiency coding with Java, C++, and/or Python
Ability to operate highly-available systems at significant scale
Ability to collaborate and work well with others
Ability to proactively learn new concepts and apply them at work
Minimum Qualifications:
BS/BA degree in a technical field such as computer science or equivalent years of experience
3+ years of industry engineering or research and development experience
Experience building large scale production machine learning systems
Experience with Java, Golang, Python, and/or C++
Preferred Qualifications:
Advanced degree in a technical field such as computer science
Experience with TensorFlow, PyTorch, or related deep learning frameworks
Experience with backend services or distributed systems
Experienced in MLOps and managing production machine learning lifecycle
Experience working with vector similarity search, recommendation, ranking, or machine learning systems
If you have a disability or special need that requires accommodation, please don’t 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.
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 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.
The base salary range for this position is $152,000-$228,000 annually.
This position is eligible for equity in the form of RSUs.
Website: https://snap.com/
Headquarter Location: Venice, California, United States
Employee Count: 5001-10000
Year Founded: 2011
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Apps ⋅ Messaging ⋅ Mobile ⋅ Social Media ⋅ Software