Research Scientist, Snap

User Modeling & Personalization

$168-252k

+ Equity

AWS
Tensorflow
Azure
PyTorch
Senior level
Los Angeles
Snap

Social media & camera company

Job no longer available

Snap

Social media & camera company

1001+ employees

B2CAugmented RealitySocialSocial MediaMobile

Job no longer available

$168-252k

+ Equity

AWS
Tensorflow
Azure
PyTorch
Senior level
Los Angeles

1001+ employees

B2CAugmented RealitySocialSocial MediaMobile

Company mission

To empower people to express themselves, live in the moment, learn about the world, and have fun together.

Role

Who you are

  • Strong technical knowledge of state-of-the-art machine learning algorithms for personalization
  • 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
  • PhD in a related technical field such as computer science, statistics, mathematics, machine learning, or equivalent years of experience
  • Track record of publications in top-tier international machine learning, data mining or information retrieval venues (e.g. KDD, WSDM, SIGIR, RecSys, ACL, ICLR, NeurIPS, etc.)
  • Experience working with machine learning libraries such as PyTorch, Tensorflow or related frameworks
  • Experience with large-scale machine learning in an academic or industrial research lab, or equivalent open-source experience

Desirable

  • 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
  • Familiarity with language models and generative recommendation and retrieval
  • Experience with distributed data processing and machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure

What the job involves

  • We are looking for a Research Scientist 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 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
  • Lead and support research projects in the user modeling and personalization domains
  • Build scalable research prototypes and evaluate them in large-scale user modeling scenarios
  • Publish your findings at top conferences
  • Partner with engineering teams to deliver your technology to millions of Snapchatters

Our take

Snap is the social media giant that owns Snapchat, a social media mobile app released in 2011. Created to serve as a more emotive communication form than texting, the app has gained mass popularity, reaching upwards of 400 million daily users worldwide.

After rejecting a billion dollar acquisition from Meta (then Facebook) in 2013, Snap has found itself in competition with the social media giant, particularly with Instagram. Despite this, the company has marked a place for itself in the ever competitive social media space through developing features like a Discover tab, augmented reality lenses, in-app games, ads and monetisation options, as well as launching its paid service, Snapchat+.

Snap has so far not earned an annual profit since going public in 2017, but as Snapchat's user base has continually increased it has nearly closed the gap. Like other tech companies it suffered in late 2022 due to a surprise drop in advertising revenue, but has been rebuilding to its former trajectory since then. Given Snapchat's lasting popularity amongst young people, further success appears likely.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

-9% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

May 2016

$1.8bn

SERIES F

Mar 2015

$200m

SERIES E

Total funding: $2.6bn

Company benefits

  • Paid maternity, paternity and family caregiver leave
  • Adoption, surrogacy, infertility and fertility preservation benefits
  • Backup child care coverage, caregiver assistance and digital maternity care support
  • Short-term disability, long-term disability, life insurance and AD&D insurance
  • Comprehensive medical coverage, including PPO, HSA and HMO options
  • Dental coverage, including orthodontia benefits
  • Vision coverage, including LASIK benefits
  • Gym perks and discounts
  • Team fitness classes, hikes and races
  • Sports leagues
  • Cooking and nutritional workshops
  • Generous time off and leave programmes
  • Meditation and yoga classes
  • Emotional and mental health support programmes and apps
  • Social gatherings, team outings and volunteering programmes
  • Speaker series, classes and subscriptions to educational programmes
  • Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth and after-tax basis for your retirement (yes, we even have the Mega Backdoor option!)
  • Rocket Lawyer memberships
  • Financial education programmes
  • Compensation packages that let you share in Snap's long-term success!
  • Have a teammate going through a tough time? Lend them a hand through our internal Snap-a-wish programme! We'll work hard to make sure they get the support they need.

Company values

  • We Are Kind - We solve problems through action, make high-quality decisions and think with a strategic mindset
  • We Are Smart - We solve problems through action, make high-quality decisions and think with a strategic mindset
  • We Are Creative - We gracefully manage ambiguity, cultivate innovation and demonstrate an insatiable desire to learn

Company HQ

Sunset Park, Santa Monica, CA

Leadership

Evan Spiegel

(CEO)

Graduated from Standford with a BS in Product Design.

Bobby Murphy

(CTO)

Studied Mathematical and Computational Science at Stanford.

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