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Research Scientist, Language for Personalization

Snap Inc
Bellevue, USA
Full-time
Mid
Onsite
Discovered 1 weeks ago
awsazuregcppytorch

Full Job Posting

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.
  • 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).
  • 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.)
  • 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.
  • The base salary range for this position is $173,000-$259,000 annually.
  • The base salary range for this position is $164,000-$246,000 annually.
  • The base salary range for this position is $147,000-$220,000 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.

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