Research Engineer, User Modeling & Personalization

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, a visual messaging app that enhances your relationships with friends, family, and the world;

an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses,.

serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves.

The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products.

We also frequently publish our work at top conferences and journals in computer science and related fields.

We are looking for a Research Engineer to join our User Modeling and Personalization Research Team! Our mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap.

Our work spans the domains of user behavior understanding, structured data modeling, recommendation systems, and efficient large-scale machine learning.

Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them.

What you'll do :

Lead and support engineering and applied research projects towards large-scale machine learning initiatives

Evaluate technical tradeoffs, perform code reviews and ensure high code-quality for research prototypes

Build robust, lasting, and scalable systems and iterate without compromising quality

Partner with engineering teams to deliver your technology to millions of Snapchatters

Partner with researchers to publish findings at top conferences

Knowledge, Skills, & Abilities :

Demonstrated ability in both software development and machine learning

Strong computer science fundamentals and problem-solving skills

Strong understanding of machine learning approaches, algorithms, and data structures

Proven ability to define and solve open-ended and ambiguous technical problems at an enterprise scale

Minimum Qualifications :

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

3+ years industry in any of the following : applied science, machine learning, distributed systems, or research roles

Familiarity with machine learning libraries such as PyTorch, TensorFlow, SparkML, JAX or related frameworks

Preferred Qualifications :

Advanced degree in machine learning or computer science, or equivalent years of experience

Expertise with graph algorithms and models, recommendation systems, and scalable machine learning paradigms

Experience with distributed data processing frameworks like Hadoop, Spark, and / or Dataflow, data pipelines and MLOps

Proficiency in languages like Python, Scala, and Java

Examples of your work, such as open-source contributions, conference or journal publications in top-tier venues (ICLR, NeurIPS, AAAI, KDD, WSDM, etc.)

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 at least 80% of the time (an average of 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 .

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.

The base salary range for this position is $168,000-$252,000 annually.

The base salary range for this position is $160,000-$239,000 annually.

The base salary range for this position is $143,000-$214,000 annually.

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