About the role

What will you do at AppLovin?

ABOUT APPLOVIN

AppLovin

[https://cts.businesswire.com/ct/CT? id=smartlink&url=http%3A%2F%2Fwww.applovin.com&esheet=54549558&newsitemid=20260608414458&lan=en-US&anchor=AppLovin&index=3&md5=a4ac8b1dcb8b5502d0154df68e322df6]

makes technologies that help businesses of every size connect to their ideal

customers. The company provides end-to-end advertising solutions for businesses

to reach, monetize and grow their global audiences. For more information about

AppLovin, visit: www.applovin.com [http://www.applovin.com].

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 AppLovin, 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.

ABOUT US

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

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.

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 RecSys 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, RecSys, 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.
AppLovin provides a competitive total compensation package with a pay for
performance rewards approach. Total compensation at AppLovin 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.
Other Types of Pay: Equity eligible
Health Insurance: Medical, Dental, Vision, Life, Disability
Retirement

Benefits

401(k) Retirement Plan

Paid Time Off: Unlimited Discretionary Time Off

Paid Holidays: 10 paid holidays per year

Paid Sick Leave: 80 hours per year

Method of Application: Apply online

Application Window: The application window is expected to close within 30 days

of the posting date.

All questions or concerns about this posting should be directed to

[email protected].

CA Base Pay Range

$252,000—$400,000 USD

AppLovin 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). AppLovin works with applicants through our

Careers page and applovin.com [http://applovin.com/] email addresses. If you are

contacted through other unofficial channels (such as WhatsApp or Telegram) or

asked to download an app or make a payment, these contacts are not legitimate.

Confirm the information here [https://www.applovin.com/jobs] and contact us

[[email protected]] directly with any questions.

AppLovin 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 race, color, religion, sex, sexual orientation, gender

identity, national origin, veteran or disability status, or other legally

protected characteristics. Learn more about EEO rights as an applicant here

[https://www.eeoc.gov/employers/eeo-law-poster].

If you need assistance and/or a reasonable accommodation due to a disability

during the application or recruiting process, please send us a request at

[email protected]

AppLovin will consider for employment all qualified applicants with criminal

histories in a manner consistent with applicable law. If you’re applying for a

position in California, learn more here

[https://calcivilrights.ca.gov/fair-chance-act/].

To support an efficient and fair hiring process, we may use technology-assisted

tools, including artificial intelligence (AI), to help identify and evaluate

candidates. All hiring decisions are ultimately made by human reviewers.

--------------------------------------------------------------------------------

Please read our Global Applicant Privacy Notice

[https://legal.applovin.com/global-applicant-privacy-notice/] to learn more

about how AppLovin processes your personal information.

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Which skills does this role require?

Machine LearningDeep LearningPythonPyTorchLarge-Scale DataCausal InferenceTechnologiesAI SolutionsRecommender SystemsUser DataGPU ClustersA/B Testing

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