Principal Machine Learning Engineer, Content Relevance, Level 7

Overview

Snap Inc is a technology company. Snap’s core products are Snapchat, Lens Studio, and Spectacles. Snap Engineering builds innovative products for hundreds of millions of Snap chatters worldwide, guided by values that prioritize privacy, speed, precision, and execution.

We’re looking for a Principal Machine Learning Engineer to join the Content Relevance team at Snap!

What you’ll do

• Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems

• Advance core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability

• Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives

• Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways

• Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization

• Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions needed to build innovative products or services

• Advocate for and apply best practices in availability, scalability, operational excellence, and cost management

• Provide technical direction that influences the entire company

Knowledge, Skills & Abilities

• Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search

• Experience setting the direction for a team whose primary output is online ranking / recommendation models

• Ability to design, train, and optimize advanced machine learning models

• Excellent programming and software design skills

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

• Skilled at solving ambiguous problems and leading and executing complex technical initiatives

• Strong collaboration and mentorship skills

Minimum Qualifications

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

• 9+ years of industry machine learning experience

• 2+ years of experience as a technical lead

• Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases

Preferred Qualifications

• Experience with recommendation systems

• Experience with Tensor Flow, PyTorch, or related deep learning frameworks

• Advanced degree in a related field such as machine learning, computer vision, or mathematics

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

• Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments

• Experience working with a diverse group of engineers

• Experience contributing to AI publications

Equity and Benefits

If you have a disability or special need that requires accommodation, please provide information via the designated accommodation form.

"Default Together" Policy at Snap:
Snap encourages in-office collaboration and expects team members to work in an office 4+ days per week.

At Snap, we are an equal opportunity employer and are committed to employment opportunities regardless of race, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth, age, sexual orientation, military or veteran status, or other protected classifications, in accordance with applicable 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.

Our Benefits:
Snap’s benefits include paid parental leave, comprehensive medical coverage, mental health support, and compensation packages aligned with Snap’s long-term success.

Compensation:
In the United States, starting pay is determined by factors including skills, experience, location, and market conditions. The base salary ranges and pay zones are listed for reference and may be updated. This position is eligible for equity in the form of RSUs.

Zone A (CA, WA, NYC): base salary range $276,000-$414,000 annually.

Zone B: base salary range $262,000-$393,000 annually.

Zone C: base salary range $235,000-$352,000 annually.

We encourage you to review Snap’s other resources and communications for more information about our culture and opportunities.

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