Software Engineer, ML Infrastructure, 7+ Years of Experience Job at Snapchat
$174,000 - $251,000 a year
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
.
Our Perception team builds the technology that enables Snapchat’s camera to intelligently understand the world around us. This team is composed of innovative product thinkers, engineers, and scientists who work together to bring captivating Snapchat experiences to life — all powered by artificial intelligence.
We’re looking for a Machine Learning Engineer to join our Perception team at Snap Inc!
What you’ll do:
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Leverage machine learning, information retrieval and big data processing technologies to empower visual search and recommendation experiences
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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 and computer vision problems
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Create comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
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Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud
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Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products
Knowledge, Skills & Abilities:
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Excellent programming and software design skills, including debugging, performance analysis, and test design
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Proven track record of operating highly-available systems at significant scale
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Ability to collaborate and work well with others
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Ability to proactively learn new concepts and apply them at work
Minimum Qualifications:
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BS/BA degree in a technical field such as computer science or equivalent years of experience
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7+ years of industry engineering or research and development experience
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Experience building large scale production machine learning systems or data pipelines
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Experience with Golang, Python, or C++
Preferred Qualifications:
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Masters/PhD in a technical field such as computer science
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Experience with TensorFlow, PyTorch, or related deep learning frameworks
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Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions, Memcache/Redis, Google/AWS services
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Experienced in MLOps and managing production machine learning lifecycle
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Experience working with vector similarity search, recommendation, ranking, or machine learning systems
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. These pay zones may be modified in the future.
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Zone A (CA, WA, NYC): The base salary range for this position is $205,000 - 295,000 annually
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Zone B: The base salary range for this position is $195,000 - 280,000 annually
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Zone C: The base salary range for this position is $174,000 - 251,000 annually
This position is eligible for equity in the form of RSUs
"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 at least 80% of the time (an average of 4 days per week). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at
accommodations-ext@snap.com
.
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!
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