Six Figure Work

Director, Machine Learning Engineer, Content

Snap Inc. (Snapchat)

Company websitesnap.com (Snap Inc. (Snapchat), opens in new tab)

Base salary From $284K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (18 min ago) · observed since
All 4 locations
  • Palo Alto, California
  • San Francisco, California
  • Los Angeles, California
  • Bellevue, Washington

About this job

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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


The Content Machine Learning Engineering organization is responsible for building all of the systems responsible for personalized candidate retrieval and ranking as well as content understanding, quality, freshness, and relevance for Stories and Spotlight. 


The team focuses on enhancing user experience, driving innovation across Spotlight, supporting content creators, and making content creation effortless. Our team tackles multi-modal content understanding, using advanced graph representation learning and content ranking to surface the best experiences for our users. We optimize machine learning models through human review and leverage state-of-the-art personalization techniques, placing us at the forefront of short form video content innovation.


We're looking for a Director of ML to lead our Content Machine Learning Engineering team. This role is responsible for setting multi-year ML strategy for recommendation/ranking, content understanding, production reliability, and experimentation, as well as managing and developing managers and connecting model investments to business outcomes.


What you'll do:

  • Support our teams solving interesting technical challenges, building world-class experiences in Snapchat and maintaining software and a platform used by over 450 million people every day
  • Oversee day to day operations of the Content ML teams across multiple offices in Seattle, Los Angeles, San Francisco, Palo Alto, and New York
  • Develop organizational-level goals and drive the technical and organizational roadmap for the engineering team
  • Collaborate with Executives, Finance, Product, and Engineering teams to deliver the highest quality for our product
  • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
  • Build and scale high-performing teams of software engineers, machine learning engineers, and technical leaders, while mentoring and developing engineering managers, directors, and senior independent contributors to achieve excellence and impact
  • Iterate quickly without compromising quality and raise the bar on operational excellence.

Knowledge, Skills, & Abilities:

  • Ability to partner with cross-functional executives and management across a geographically distributed organization
  • Demonstrated experience leading and developing engineers with diverse backgrounds, skill sets, and perspectives.
  • Strong understanding of machine learning, deep learning approaches, and algorithms

Minimum qualifications:

  • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
  • 10+ years of software engineering experience post-Bachelor’s; or a Master’s degree in a technical field + 9+ years of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience
  • 5+ years of experience leading a large team at scale and managing engineering with an eye to driving efficiency
  • Experience working with ML, AI, and ranking systems.

Preferred qualifications:

  • Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
  • Experience with Machine Learning and Generative Recommendations
  • Experience with high-scale ranking and recommendation systems

"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):

The base salary range for this position is $334,000-$500,000 annually.

Zone B:

The base salary range for this position is $317,000-$475,000 annually.

Zone C:

The base salary range for this position is $284,000-$425,000 annually.This position is eligible for equity in the form of RSUs.

If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.

Source: Snap Inc. (Snapchat) on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($284,000) is above 89% of the 1,504 Data & ML roles in California listed on this site. Their median floor is $189,000; the middle half runs from $159,900 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Snap Inc. (Snapchat) roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Snap Inc. (Snapchat) roles with the nearest advertised base floor
RolePublished base
Director, Machine Learning Engineer, Content (this listing)From $284K
Senior Principal Software Engineer, Ads QualityFrom $284K
Director, Software Engineering, Product EngFrom $284K
Director, Integrity and ComplianceFrom $258K
Principal Software Engineer, Business ExperienceFrom $235K
Principal Software Engineer, Ads PlatformFrom $235K
Principal Software EngineerFrom $235K

Same $100K to $400K scale as every card. All Snap Inc. (Snapchat) roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-22
Where this pay comes from

Location as the employer wrote it: US (regional bands)

The base salary range for this position is $284,000-$425,000 annually.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.