Staff Machine Learning Engineer, Level 6

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 it's 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 Staff Machine Learning Engineer to join Snap Inc!

What you’ll do:

• Create models which help drive value for users, advertisers, and our company

• Evaluate the technical tradeoffs of every decision

• Perform code reviews and ensure exceptional code quality

• Build robust, lasting, and scalable products

• Iterate quickly without compromising quality

Knowledge, Skills & Abilities:

• Strong understanding of machine learning approaches and algorithms

• Able to prioritize duties and work well on your own

• Ability to work with both internal and external partners

• Skilled at solving open ambiguous problems

• Strong collaboration and mentorship skills

Minimum Qualifications:

• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

• 8+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience

• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning

Preferred Qualifications:

• Advanced degree in computer science or related field

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

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

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