AppLovin Logo

AppLovin

Applied Research Scientist

Reposted 3 Days Ago
Be an Early Applicant
Easy Apply
In-Office
Palo Alto, CA, USA
166K-300K Annually
Mid level
Easy Apply
In-Office
Palo Alto, CA, USA
166K-300K Annually
Mid level
As a Research Scientist at AppLovin, you'll utilize machine learning to enhance ad delivery, process massive data sets, and conduct A/B tests to optimize performance.
The summary above was generated by AI
About AppLovin

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: 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.

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 HERE.

We are  a group of research scientists and engineers building cutting edge technology at the intersection of machine learning and adtech.
The core of our work is focused on:
  • Building ads delivery systems that deliver the most relevant products to users and drive business results.

  • Processing and handling tens of billions of rows of data per day, and processing one million requests per second.

  • Integrating tabular, text, image, and video data into a cohesive system to improve ads delivery.

  • Running large-scale A/B tests to measure results.


Why Applovin?

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. 

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.

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.


About you:

A good candidate generally has:


  • Experience working with state of the art Machine Learning/Deep Learning models to solve hard problems.

  • Strong programming skills in Python and experience with Deep Learning frameworks (preferably PyTorch).

  • Strong mathematical skills, and the ability to understand and interpret data.

  • The drive to want to make an impact on the company you work for.


It’s a bonus if you have:

  • Experience working with large datasets and distributed computing frameworks.

  • Strong C++ or Java programming ability in addition to Python.

  • Prior experience working with recommendation models specifically.

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
$166,000$300,000 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 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 and contact us 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.
 
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.
 
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 to learn more about how AppLovin processes your personal information. 
 
 
 
 
             

Top Skills

C++
Java
Python
PyTorch
HQ

AppLovin Palo Alto, California, USA Office

1100 Page Mill Rd, Palo Alto, CA, United States, 94304

Similar Jobs

3 Days Ago
Easy Apply
In-Office
Palo Alto, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Information Technology • Cybersecurity • Defense
As an Applied Research Scientist, you will lead the development of scalable GenAI applications, innovate AI strategies, publish research, and mentor junior staff, while leveraging your expertise in cloud development and LLMs.
Top Skills: AzureDspyJaxLangchainLlmsPythonPyTorchTensorFlow
5 Days Ago
In-Office or Remote
6 Locations
254K-349K Annually
Expert/Leader
254K-349K Annually
Expert/Leader
Cloud • Software
Lead applied research and system development at the intersection of machine learning and construction data, mentoring teams and driving technical strategy.
Top Skills: AWSGCPKubernetesPyTorchTensorFlow
4 Days Ago
In-Office
95K-123K Annually
Mid level
95K-123K Annually
Mid level
Food
As an Applied Research Scientist, you'll lead research projects, analyze data, present findings, and collaborate with stakeholders to innovate berry production techniques.
Top Skills: JmpMS OfficeRSAS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account