{"id":3873608,"url":"https://alion.io/job/lifeatmatch-machine-learning-engineer-intern","title":"Machine Learning Engineer Intern","company":{"id":2949602,"name":"Lifeatmatch","domain":"lifeatmatch.com","url":"https://alion.io/company/lifeatmatch","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"closed","first_seen_at":"2026-11-06T14:55:52Z","employer_posted_date":null,"last_verified_at":"2026-11-06T21:21:45Z","board_verified":false,"closed_at":"2026-11-06T21:21:45Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Tinder is hiring a Machine Learning Engineer Intern to build and deploy machine learning solutions that support its business goals. The intern will work with senior engineers on product challenges across areas including recommendations, trust and safety, profile, chat, growth, and revenue.\n\nResponsibilities\nGain real-world experience on exciting challenges to improve the user experience\nDesign and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue\nExperience the ML model formulation of production problem under the guidance\nWork closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals\nParticipate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives\n\nSkills\nAspiring ML Engineer who's excited to work on large scale challenges with cutting-edge technology\nPractical knowledge of how to build efficient end-to-end ML workflows\nProficient in Python\nHands-on experience in designing and building ML models\nFoundational knowledge of basic Computer Science principles: data structures and algorithms\nCurrently pursuing a BS/BA or MS in Computer Science or a related field\nPublications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD)\nExperience deploying ML models in production environments\nFamiliarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras\nExperience with Databricks, Spark, or Airflow\nProficiency in additional programming languages like Go, Java or Scala\n\nBenefits\nHybrid role requiring in-office collaboration three days per week in Palo Alto, California.\n\nCompany Overview\nLife at Match is an internet company that offers revolutionary technology services. It was founded in 1995, and is headquartered in Dallas, Texas, USA, with a workforce of 1001-5000 employees. Its website is http://www.lifeatmatch.com.\n\nCompany H1B Sponsorship\nMatch has a track record of offering H1B sponsorships, with 2 in 2026, 4 in 2025, 9 in 2024. 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