Manager, Machine Learning Engineering, Content Ranking

Manager, Machine Learning Engineering, Content Ranking

Apply locations:
Palo Alto, California | Time type:
Full time | Posted on:
Posted 11 Days Ago | Job requisition : R

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 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 Snap chatters 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 Machine Learning Engineering Manager to join the Content Ranking team at Snap!

What you’ll do:

• Lead a team of machine learning engineers and software engineers in developing and optimizing our personalized video recommendation engine

• Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability

• Drive rapid iteration without compromising quality: work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system

• Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes: conduct A/B testing and analyze performance metrics to continuously improve the recommender system.

• Perform design and code reviews to raise technical excellence bar

Knowledge, Skills & Abilities:

• Deep understanding of machine learning approaches, algorithms and their application to recommender system

• Experience setting the direction for teams focused on developing online ranking and recommendation models

• Strong management and mentorship skills, fostering a collaborative and innovative team culture

• Excellent verbal and written communication skills, with meticulous attention to detail

• Ability to effectively collaborate with stakeholders at all levels, both internally and externally

• Proficiency in managing and solving ambiguous problems

Minimum Qualifications:

• Bachelor’s in a related technical field such as computer science or equivalent years of experience

• 8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ years of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience

• 1+ year(s) of experience leading machine learning teams that focus on ranking and/or recommendations

Preferred Qualifications:

• Experience with real-time recommendation systems.

• Experience working with large-scale machine learning frameworks such as Tensor Flow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

• Experience working with distributed systems

• Experience working with machine learning, ranking infrastructures, and system designs

• Ability to proactively learn new concepts and apply them at work

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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