Principal Machine Learning Engineer, Signals and Measurement

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.

Were looking for a Principal Machine Learning Engineer to join our Signals & Measurement team at Snap!

What youll do:

• Design and develop machine learning systems across the third-party signal lifecycle from acquisition and curation to matching attribution and causal measurement
• Design implement and scale critical machine learning models to support Snaps monetization strategies
• Collaborate with cross-functional teams to set and 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 the solutions needed to build innovative products or services
• Advocate for and apply best practices when it comes to availability scalability operational excellence and cost management
• Provide technical direction that influences the entire ML community

Knowledge Skills & Abilities:

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

• Bachelors in a technical field such as computer science mathematics statistics or equivalent years of experience
• 9 years of post-Bachelors machine learning experience; or a Masters degree in a technical field 8 year of post-grad ML experience; or a PhD in a related technical field 5 years of post-grad ML experience
• 2 years of experience with technical leadership or acting as the domain-expert to a technical organization
• Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases
• Experience with TensorFlow PyTorch or related deep learning frameworks

Preferred Qualifications:

• Experience with signals and measurement stack identity resolution anomaly detection or causal measurement
• Familiar with attribution and advanced measurement methodologies
• Experience in online advertising including ad targeting ranking auction and/or marketplace optimization.
• 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

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).

Compensation

In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates 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.

The base salary range for this position is $276000-$414000 annually.

The base salary range for this position is $262000-$393000 annually.

:

The base salary range for this position is $235000-$352000 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 .

Required Experience:

Staff IC