Manager, Machine Learning Engineer, Ad Targeting

Key Skills

Algorithms, Analytical and Problem solving, Effective communication skills, Machine learning techniques, PyTorch, TensorFlow, Writing

Job Description

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 are looking for a Machine Learning Engineering Manager to join the Ad Targeting engineering team. You will be tasked with leading the development of new advertising products, supporting various ad targeting products that help our partners achieve their business goals on the Snap platform.

What you’ll do:

• Lead engineers to create models which drive value for our users, advertising partners, and our company

• Design and implement new advertising products end-to-end helping advertisers achieve their business goals

• 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 ML approaches and algorithms, and their applications to advertising or recommendation

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

• Experience collaborating with internal and external stakeholders at all levels of a company

• Experience in solving open ambiguous problems from end to end

• Ability to collaborate and work well with others

Minimum Qualifications:

• BS/BA in a technical field such as Computer Science or equivalent experience

• 6+ years of ML industry experience or 5+ years ML industry experience and MS and / or PhD in computer science or related field

• 2+ years experience managing ML teams focusing on advertising applications

Preferred Qualifications:

• S. degree or PhD in computer science or related field

• Experience working with ML frameworks such as TensorFlow, PyTorch or related frameworks

• Previous experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment

"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. 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!

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.

Zone A (CA, WA, NYC):

The base salary range for this position is $222,000-$333,000 annually.

Zone B:

The base salary range for this position is $211,000-$316,000 annually.

Zone C:

The base salary range for this position is $189,000-$283,000 annually.

This position is eligible for equity in the form of RSUs.