Research Scientist, Language for Personalization

London - UK

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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 Companys 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 Snaps 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 Snaps 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 teams 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 generative and language models for information retrieval efficient large-scale recommender systems and representation learning for structured graph data. Together with you we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them.

What youll do:

Lead research projects in the user modeling and personalization domains including generative modeling recommendation systems information retrieval and efficiency
Build scalable research prototypes and evaluate them in large-scale machine learning scenarios
Share your expertise with teammates and interns
Publish your findings at top conferences
Partner with engineering teams to deliver your technology to millions of Snapchatters

Knowledge Skills & Abilities:

Strong technical knowledge of machine learning information retrieval personalization and state-of-the-art deep learning literature
Demonstrated ability in defining leading and executing challenging research projects
Strong computer science fundamentals problem-solving and engineering skills (Python PyTorch)
Pragmatic hands-on approach to research with a drive to build working prototypes rather than solely rely on theoretical exploration
Proven ability to mentor interns students and junior researchers

Minimum Qualifications:

PhD in a related technical field such as computer science machine learning or mathematics or equivalent years of practical work experience
Strong familiarity with PyTorch and hands-on experience with distributed (multi-node and multi-GPU) machine learning model training inference and experimentation
Experience applying language models in the context of generative search ranking and/or personalization
Track record of publications (first-author preferred) in top machine learning information retrieval or language venues (e.g. ICLR NeurIPS ICML KDD RecSys SIGIR WSDM ACL COLM etc.)

Preferred Qualifications:

Experience with large-scale machine learning problems in an academic or industrial research lab or equivalent open-source experience
Experience with large-scale data processing collection or synthesis using machine learning frameworks on Enterprise Cloud solutions like Google Cloud AWS and/or Azure
Familiarity with post-training preference optimization working with large-scale search or recommendation interaction data and recommender systems
Demonstrated ability to transform cutting-edge research into tangible product improvements

If you have a disability or special need that requires accommodation please dont be shy and provide us some information.

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.

Our Benefits: Snap Inc. is its own community so weve 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 Snaps long-term success!

Required Experience: