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Applied Research Scientist
AppLovin
H1B ✓On-siteseniorPosted April 30, 2026
About the Role
Build and optimize ads delivery systems using advanced ML/Deep Learning models, process large-scale multi-modal data, and conduct A/B tests to drive business impact and improve ad relevance.
Requirements
Requires experience with state-of-the-art ML/Deep Learning models, strong programming skills in Python with PyTorch, strong mathematical skills, and the drive to make a business impact, with a bonus for large datasets, distributed computing, C++/Java, and recommendation models.
Full Job Description
<div class="content-intro"><h3><span style="font-weight: 400;"><strong>About AppLovin</strong></span></h3>
<p>AppLovin 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 AppLovin, visit: <a href="http://www.applovin.com/">www.applovin.com</a>.</p>
<p><span style="font-weight: 400;">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.</span></p>
<p>Fortune recognizes AppLovin 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 (2021-2024). Check out the rest of our awards <a href="https://www.applovin.com/jobs/">HERE</a>.</p></div><h4>We are a group of research scientists and engineers building cutting edge technology at the intersection of machine learning and adtech.</h4>
<p> </p>
<h3>The core of our work is focused on:</h3>
<p> </p>
<ul>
<li>
<p>Building ads delivery systems that deliver the most relevant products to users and drive business results.</p>
</li>
<li>
<p>Processing and handling tens of billions of rows of data per day, and processing one million requests per second.</p>
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<p>Integrating tabular, text, image, and video data into a cohesive system to improve ads delivery.</p>
</li>
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<p>Running large-scale A/B tests to measure results.</p>
</li>
</ul>
<p> </p>
<h3>Why Applovin?</h3>
<p> </p>
<p>Our team has a consistent track record of driving business impact through technology — building one of the world’s highest-performing ads recommendation systems and fueling Applovin’s ~25x business growth over the last 2+ years. At Applovin, the feedback loop for Research Scientists is exceptionally fast. You can develop a new model, launch an A/B test, and ship it — all within days or weeks. What might take months or even years elsewhere happens here at the pace of your execution. </p>
<p>Even as we’ve scaled, our pace hasn’t slowed — we continue to ship meaningful improvements that move the needle, and there’s still enormous opportunity for the right candidate to make an immediate impact and further our business growth. Despite the size of our business, we operate with a remarkably efficient engineering team — fewer than 100 engineers power everything we build, which means every individual has outsized responsibility, autonomy, and influence.</p>
<p><br><br></p>
<p>If that kind of fast-paced, high-impact environment excites you, we’re looking for teammates eager to solve hard problems and drive meaningful business results from day one.</p>
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<p><br><br></p>
<h3>About you:<br><br></h3>
<p>A good candidate generally has:</p>
<p> </p>
<ul>
<li>
<p>Experience working with state of the art Machine Learning/Deep Learning models to solve hard problems.</p>
</li>
<li>
<p>Strong programming skills in Python and experience with Deep Learning frameworks (preferably PyTorch).</p>
</li>
<li>
<p>Strong mathematical skills, and the ability to understand and interpret data.</p>
</li>
<li>
<p>The drive to want to make an impact on the company you work for.</p>
</li>
</ul>
<p> </p>
<p>It’s a bonus if you have:</p>
<ul>
<li>
<p>Experience working with large datasets and distributed computing frameworks.</p>
</li>
<li>
<p>Strong C++ or Java programming ability in addition to Python.</p>
</li>
<li>
<p>Prior experience working with recommendation models specifically.</p>
</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>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.</p>
<p><strong>Other Types of Pay:</strong> Equity eligible</p>
<p><strong>Health Insurance: </strong>Medical, Dental, Vision, Life, Disability</p>
<p><strong>Retirement Benefits:</strong> 401(k) Retirement Plan</p>
<p><strong>Paid Time Off:</strong> Unlimited Discretionary Time Off</p>
<p><strong>Paid Holidays:</strong> 10 paid holidays per year</p>
<p><strong>Paid Sick Leave:</strong> 80 hours per year</p>
<p><strong>Method of Application:</strong> Apply online</p>
<p><strong>Application Window:</strong> The application window is expected to close within 30 days of the posting date.</p>
<p>All questions or concerns about this posting should be directed to peopleops@applovin.com.</p></div><div class="title">CA Base Pay Range</div><div class="pay-range"><span>$166,000</span><span class="divider">—</span><span>$300,000 USD</span></div></div></div><div class="content-conclusion"><div>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 <a class="c-link" href="http://applovin.com/" target="_blank" data-stringify-link="http://applovin.com" data-sk="tooltip_parent">applovin.com</a> 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 <a class="c-link" href="https://www.applovin.com/jobs" target="_blank" data-stringify-link="https://www.applovin.com/jobs" data-sk="tooltip_parent">here</a> and <a class="c-link" href="mailto:jobs@applovin.com" target="_blank" data-stringify-link="mailto:jobs@applovin.com" data-sk="tooltip_parent">contact us</a> directly with any questions.</div>
<div> </div>
<div>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 <a class="postings-link" href="https://www.eeoc.gov/employers/eeo-law-poster" target="_blank">here</a>.</div>
<div> </div>
<div>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 accommodations@applovin.com.</div>
<div> </div>
<div>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 <a class="postings-link" href="https://calcivilrights.ca.gov/fair-chance-act/" target="_blank">here</a>.</div>
<div> </div>
<div>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.</div>
<div><hr></div>
<div>Please read our <a class="postings-link" href="https://legal.applovin.com/global-applicant-privacy-notice/" target="_blank">Global Applicant Privacy Notice</a> to learn more about how AppLovin processes your personal information. </div>
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