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You will be updated with latest job alerts via email$ 276000 - 414000
1 Vacancy
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 Engineeringteams 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 valuesare at the root of everything we do. We move fast with precision and always execute with privacy at the forefront.
Were looking for a Principal Machine Learning Engineer to join Snaps ML Inference Platform team!
What youll do:
Design implement and scale critical machine learning components and services to support Snaps most strategic initiatives
Design and build a next-generation inference framework and services that can support large-scale model high-throughput serving enabling us to push the limits of whats possible with machine learning
Perform model and inference optimization with various GPUs to improve model inference speed and efficiency
Work across teams to understand product requirements evaluate trade-offs and deliver the solutions needed to build innovative products or services
Advocate for and apply best practices when it comes to availability scalability operational excellence and cost management
Provide technical direction that influences the entire company
Knowledge Skills & Abilities:
Strong understanding of machine learning approaches and algorithms
Excellent programming and software design skills including debugging performance analysis and test design
Proven track record of operating highly-available systems at scale
Ability to proactively learn new concepts and technology and apply them at work
Skilled at solving ambiguous problems
Strong collaboration and mentorship skills
Minimum Qualifications:
BS in technical field such as computer science mathematics statistics or equivalent years of experience
9 years of post-Bachelors machine learning experience; or a Masters degree in a technical field 8 year of post-grad ML experience; or a PhD in a related technical field 5 years of post-grad sML experience
2 years of experience as a technical lead
Experience with GPU/TPU inference and optimizations
Preferred Qualifications:
Masters/PhD in a technical field such as computer science
Experience leading teams and driving technical roadmaps
Experience working with machine learning recommendation and ranking systems or vector similarity search
Experience with TensorFlow PyTorch or related deep learning frameworks
Experience with Docker Kubernetes Ray NoSQL solutions Memcache/Redis Google/AWS services
Experienced in MLOps and managing production machine learning lifecycle
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 $276000-$414000 annually.This position is eligible for equity in the form of RSUs.
Required Experience:
Staff IC
Full-Time