Research Intern - UMAP

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’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Research 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 Scientist to join our User Modeling and Personalization Research Team!  Our team’s 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 structured data modeling, recommendation systems, and 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 research projects in the user modeling and personalization domains (sub-areas include graph modeling, generative recommendation, personalization, and ML efficiency)

• Build scalable research prototypes and evaluate them in large-scale machine learning scenarios

• Publish your findings at top conferences

Knowledge, Skills, & Abilities:

• Strong technical knowledge of state-of-the-art ML algorithms in one or more above sub-areas 

• Demonstrated ability in defining, leading and executing challenging research projects

• Strong computer science fundamentals, problem-solving and engineering skills

• Proven ability to mentor interns, students and junior researchers
   

Minimum Qualifications:

• Currently enrolled in a PhD program in a technical field such as computer science, machine learning, statistics, mathematics, or equivalent years of experience

• Track record of (co-)first-author publications in top machine learning, data mining, information retrieval or language venues (e.g. KDD, WSDM, SIGIR, RecSys, ACL, ICLR, NeurIPS, COLM etc.)

• Strong familiarity with ML libraries such as PyTorch, Tensorflow, Jax or related frameworks

• Experience with distributed (multi-GPU, or multi-node) model training, inference and experimentation; experience with large-scale settings in academic/industrial research labs is a plus

Preferred Qualifications:

• Experience with large-scale machine learning in an academic or industrial research lab, or equivalent open-source experience

• Experience with distributed data processing and machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure

• Familiarity with language models and generative recommendation and retrieval

• Demonstrated ability to transform cutting-edge research into tangible product improvements

• Specialization and hands-on experience with state-of-the-art recommendation models and scalable machine learning technologies

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