AppLovin

AppLovin

Foundational Research Scientist

Palo Alto, CA

Sponsorship not specified$252k-$400kDetected 21 hours ago
PythonMachine LearningPyTorchStatisticsA/B TestingProduct ManagementResearchCollaboration

About the role

  • We're creating a world-class academic-industrial hybrid research group to advance recommender systems.
  • Unlike academia, your work won't live only in papers - it will be deployed into real products, used by millions, and validated at scale.
  • This is your chance to push the science forward and see your ideas transform how the world discovers content.

Responsibilities

  • Drive foundational research to create new recommendation models and paradigms.
  • Leverage rich live user data and large-scale compute to validate models rapidly.
  • Collaborate closely with engineering and product teams to operationalize research.
  • Cross-disciplinary collaboration: partner with product, design, and engineering teams.
  • partner with product, design, and engineering teams.
  • To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates.

Requirements

  • PhD (or equivalent research experience) in CS, ML, Statistics, or related field.
  • Proven track record of research excellence (publications, awards, impactful projects).
  • Proficiency in Python and modern ML frameworks (PyTorch).
  • Experience with large-scale data and experimentation.

Nice to have

  • Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW).
  • Knowledge of online experimentation and evaluation methodologies.
  • Industry experience deploying ML in production systems.
  • What You'll Gain
  • The opportunity to shape the next generation of recommendation science.
  • A research culture that combines academic rigor with industrial scale.
  • Access to world-class infrastructure and live experimentation loops.
  • A collaborative environment that rewards both innovation and execution.

Skills

  • About AppLovin
  • The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences.

Compensation

  • 10 paid holidays per year
  • 80 hours per year
  • CA Base Pay Range
  • $252,000 - $400,000 USD
  • Paid Holidays: 10 paid holidays per year

Benefits

  • 401(k) Retirement Plan
  • Paid Time Off: Unlimited Discretionary Time Off
  • Paid Sick Leave: 80 hours per year

Company info

  • At AppLovin, we're powering the future of product discovery and engagement through cutting-edge machine learning. Recommender systems quietly shape the daily lives of billions of people - deciding what we watch, read, play, and buy. They don't just influence culture
  • they drive trillions of dollars in market value across ads, commerce, and streaming, fueling economic growth and job creation worldwide, and the space is still growing at double-digit rates annually.
  • The modern recommendation stack was established about a decade ago, but we believe the next era of models will look fundamentally different. We're assembling a research team dedicated to shaping that future.
  • The Opportunity
  • At AppLovin, we're powering the future of product discovery and engagement through cutting-edge machine learning.
  • Recommender systems quietly shape the daily lives of billions of people - deciding what we watch, read, play, and buy.
  • They don't just influence culture; they drive trillions of dollars in market value across ads, commerce, and streaming, fueling economic growth and job creation worldwide, and the space is still growing at double-digit rates annually.
  • The modern recommendation stack was established about a decade ago, but we believe the next era of models will look fundamentally different.
  • We're assembling a research team dedicated to shaping that future.
  • We're looking for rising researchers with strong academic backgrounds and a desire to have real-world impact.
  • To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world.

Equal opportunity

  • AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity.
  • Learn more about EEO rights as an applicant here.
  • equal opportunity employer that is committed to inclusion and diversity.
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This listing is sourced directly from AppLovin's careers page and normalized into a canonical job model.