Machine Learning Engineer Level 4 Ads Platform

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 Machine Learning Engineer to join our Ads Platform team!

What you’ll do:

• Design develop and productionize machine learning models that power core Ads Platform systems including ad ranking prediction and delivery at Snapchat scale

• Apply cutting-edge ML techniques to improve marketplace efficiency ad relevance and advertiser outcomes across large-scale real-world ads challenges

• Lead the end-to-end ML lifecycle from problem framing and data analysis to model development online experimentation production deployment monitoring and continuous optimization

• Collaborate closely with cross-functional partners across engineering product and data to prototype launch and scale ML-powered features that drive measurable impact for advertisers and Snapchatters

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

• 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field 

• 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 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).

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!

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. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA WA NYC):

Zone B:

Zone C:

What We Do

Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves live in the moment learn about the world and have fun together.

Why Work With Us

Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together.

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