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 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 you'll 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
"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.
Our Benefits: 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. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $173,000-$259,000 annually.
Zone B:
The base salary range for this position is $164,000-$246,000 annually.
Zone C:
The base salary range for this position is $147,000-$220,000 annually.
This position is eligible for equity in the form of RSUs.
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Job Description Pay Range Disclosure
