AppLovin is a global leader in mobile entertainment. Its studios create popular, immersive mobile games and its technology brings games to more players around the world. Since 2012, the company’s platform has been instrumental in driving the explosive growth of mobile games, resulting in a richer ecosystem and more games played by millions of people every day. AppLovin is headquartered in Palo Alto, California with several offices globally. Learn more at applovin.com.

AppLovin is one of Inc.‘s Best Workplaces and a recipient of the 2019 Glassdoor Top CEO employee’s choice award. The San Francisco Business Times’ awarded AppLovin one of the Bay Area’s Best Places to Work and the Workplace Wellness Award which recognizes businesses that are leaders in improving worker well-being.

AppLovin is expanding its fresh R&D center in Israel.   If you’re looking to work with the best technologists in the world, impact, learn and enjoy every minute of it - send us your CV and we would love to meet you. The ideal candidate is super passionate about deep, innovative technology, independent, self- motivated, results-oriented and sharp.

Job Requirements:

      • At least 5 years industry experience with backend development Python experience 
      • Successfully completed at least one basic machine learning academic/online course 
      • At least 3 years industry experience working with cloud unix machines Networking experience 
      • Four-year college degree from a top university, preferably in Computer Science or similar Experience working with global teams 
      • Proficient in English 
Nice to Have:

      • MSc or PhD degree in a quantitative discipline 
      • Machine learning research experience 
      • Computer vision research experience 
      • Applied experience with machine learning on large datasets Industry cloud devops experience Industry experience as a software architect 

Job Responsibilities:

    • End-to-end responsibility of the machine learning server side stack 
    • Train, benchmark and deploy machine learning models Monitor and maintain machine learning production pipeline 
    • Design and implement a training and benchmarking machine learning framework 
    • Design and implement internal tools for data labeling 
    • Manage server instances deployed on a global cloud and colocation facilities 
    • Participate in system architecture and prioritization discussions 

 

AppLovin is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

 

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