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Machine Learning Engineer Intern

Company: AppLovin
Location: Palo Alto
Posted on: November 21, 2022

Job Description:

AppLovin enables developers to grow their business. Businesses rely on AppLovin's market leading technologies to solve their mission-critical functions with a powerful, full stack solution including user acquisition, monetization and measurement. AppLovin is headquartered in Palo Alto, California with several offices globally. AppLovin was named one of the Best Workplaces in Advertising & Marketing 2022 by Fortune, one of the Hottest Adtech Companies of 2021 by Business Insider, and a Certified Great Place to Work in 2021 and 2022. Fortune recognized AppLovin as one of the Best Workplaces in the Bay Area 2022, alongside The San Francisco Business Times and Silicon Valley Business Journal who have also awarded AppLovin one of the Bay Area's Best Places to Work for the past four years. Our team members are regularly recognized for their work and leadership, including recent award wins for San Francisco Business Times' Outstanding LGBTQ+ Leaders 2022, Business Insider's Rising Stars of Adtech 2022, Glassdoor's Top CEOs 2019, and the Women in Content Marketing Awards 2021. As a member of our Data Science team, you'll solve technical machine learning engineering challenges in the digital advertising space, help our clients to optimize In-app monetization strategies, and find best practices for growth. Your responsibility may include scalable data ETL, distributed training optimization, end-to-end related machine learning model deployment. This will be a 2-3 month internship and start in Summer 2023. - Requirements:

  • You are currently working towards earning a MS or Ph.D. in Computer Science or a related quantitative / engineering field
  • You love building state-of-the-art machine learning infrastructures to improve data healthiness and model quality -
  • Have experience programming in Python or C++
  • Have some experience working with Linux/Unix and SQL databases
  • Have knowledge of object-oriented programming and distributed computing frameworks such as Hadoop/SparkBonus Points:
    • Have experience with basic machine learning theories (e.g., classification, clustering, optimization, etc)
    • Any experience with active learning and reinforcement learning
    • Non-academic coding contribution to open source (e.g., C++/python/R packages, hackathon, personal project)
    • Any experience with digital advertising 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 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 . If you are a California resident, read our CA Privacy Notice to learn more about how AppLovin processes your personal information.

Keywords: AppLovin, Palo Alto , Machine Learning Engineer Intern, Engineering , Palo Alto, California

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