Foundational Research Scientist
Job in
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-02-17
Listing for:
AppLovin
Full Time
position Listed on 2026-02-17
Job specializations:
-
Software Development
Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
App Lovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about App Lovin, visit:
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. At App Lovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.
Fortune recognizes App Lovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years ). Check out the rest of our awards HERE.
About Us
At App Lovin, 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
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 s is your chance to push the science forward and see your ideas transform how the world discovers content.
What You'll Do
* 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.
* Publish findings and contribute to the broader ML and Rec Sys community.
Benefits of Research in Industry
* Rich real-time data: access to large-scale, diverse, and dynamic user interactions.
* Massive compute & infrastructure: GPU clusters, feature stores, deployment pipelines.
* Rapid experimentation: immediate feedback through A/B testing and online evaluation.
* Direct impact: see your models shape user experiences and business outcomes.
* Cross-disciplinary collaboration: partner with product, design, and engineering teams.
* Balanced path: combine scientific exploration with practical deployment.
Who You Are
We're looking for rising researchers with strong academic backgrounds and a desire to have real-world impact.
Minimum Qualifications
* PhD (or equivalent research experience) in CS, ML, Statistics, or related field.
* Strong background in deep learning.
* 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, Rec Sys, SIGIR, WWW).
* Experience with sequential modeling, representation learning, or causal inference.
* 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.
App Lovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at App Lovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.
CA Base Pay Range
$252,000-$400,000 USD
App Lovin has become aware of a scam targeting jobseekers with fake "app optimization" and similar roles. We do not ask our candidates to download apps or make any form of payment(s). App Lovin works with applicants through our Careers page and email addresses. If you are contacted through other unofficial channels (such as Whats App or Telegram) or asked to download an app or make a payment, these contacts are not legitimate.
Confirm the information here and contact us directly with any questions.
App Lovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to…
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