{"id":6369,"url":"https://alion.io/job/applovin-machine-learning-engineer-feed-recommendation","title":"Machine Learning Engineer – Feed Recommendation","company":{"id":2452,"name":"AppLovin","domain":"applovin.com","url":"https://alion.io/company/applovin","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":125000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-03-09T06:32:17Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-17T21:33:22Z","board_verified":true,"closed_at":null,"days_open":222,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":221},"description":"About AppLovin\nAppLovin 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.\nTo 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.\nThe Role\nWe are looking for a Machine Learning Engineer with strong experience in large-scale recommendation systems to help build the next-generation social media platform.\nYou will own critical components of our recommendation stack - including recall, ranking, CTR modeling, and multi-objective optimization - with the goal of driving retention, engagement, and long-term ecosystem growth.\nA Day in the Life\nDesign and deploy scalable recommendation pipelines \nDevelop and optimize CTR/CVR prediction models\nImprove multi-objective ranking strategies (retention, monetization, diversity, long-term value)\nTackle cold-start challenges for new users and new content\nRun offline experiments and online A/B testing to drive measurable gains\nCollaborate closely with product, engineering, and monetization teams\nContinuously iterate on model performance, latency, and system reliability\nThe Impact You’ll Make\nImprove user retention through intelligent content recommendation\nDrive measurable lift in engagement and monetization metrics\nBuild core ranking mechanics beyond incremental model tuning\nShape the foundation of a scalable, long-term content ecosystem\nWho You Are\n3-5 years of experience building production-grade ML systems\nStrong hands-on experience in recommendation systems\nExperience in one or more:\nRecall systems / candidate generation\nRanking models\nCTR prediction\nMulti-task or multi-objective optimization\nProficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)\nStrong software engineering fundamentals\nExperience with large-scale data systems and distributed training is a plus\nExperience improving retention or long-term user value is highly valued\nWhy Join This Venture\nBuild 0-to-1 systems inside a proven AI powerhouse\nHigh ownership and direct business impact\nStartup speed with AppLovin-level scale and resources\nOpportunity to shape a new growth engine for the company\nAppLovin 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.\nIf you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at \nAppLovin 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.\nTo support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. 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