Machine Learning Engineer Intern

Remote Full-time
Match Group is the parent company of Tinder, a platform dedicated to fostering human connections. The Machine Learning Engineer Intern will collaborate with senior engineers to design and implement machine learning algorithms aimed at enhancing user experiences and driving business growth across various domains. Responsibilities Gain real-world experience on exciting challenges to improve the user experience Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue Experience the ML model formulation of production problem under the guidance Work closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives Skills Aspiring ML Engineer who's excited to work on large scale challenges with cutting-edge technology Practical knowledge of how to build efficient end-to-end ML workflows Proficient in Python Hands-on experience in designing and building ML models Foundational knowledge of basic Computer Science principles: data structures and algorithms Currently pursuing a BS/BA or MS in Computer Science or a related field Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD) Experience deploying ML models in production environments Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras Experience with Databricks, Spark, or Airflow Proficiency in additional programming languages like Go, Java or Scala Company Overview Life 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 Company H1B Sponsorship Match has a track record of offering H1B sponsorships, with 4 in 2025, 11 in 2024. Please note that this does not guarantee sponsorship for this specific role.
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