Principal Software Engineer, Content Retrieval and Ranking Delivery

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 Principal Software Engineer to join the Content Relevance team!

What you’ll do:

• Oversee technical strategy and architecture for the Content Retrieval / Ranking / ML delivery stack

• Combine strong software engineering principles with machine learning to build scalable retrieval / ranking / ML workflows for advanced deep learning problems

• Design, implement, and scale critical engineering components and services to support scalable delivery of Content Recommendations

• 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

• 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:

• Bachelors in technical field such as computer science, mathematics, statistics or equivalent years of experience

• 10+ years of industry experience

• 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization

• Experience in technical leadership/ownership and setting technical direction for engineering projects

• Experience architecting, designing, and developing large scale production machine learning systems or data pipelines

Preferred Qualifications:

• Advanced degree in a technical field such as computer science

• Experience with building and managing scalable ML infrastructure on cloud platforms

• Ability to promote product excellence and collaboration, driving a portfolio of concurrent engineering projects, from short-term critical feature launches to long-term research initiatives.

• Ability to create a compelling vision for the future, communicate clearly, and have a collaborative leadership approach.

• Experience with machine learning frameworks such as Tensorflow, Caffe2 PyTorch, Spark ML, scikit-learn, or related frameworks

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

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