Tinder
Software Engineer III, Machine Learning (Engagement & Growth)
Tinder, Palo Alto, California, United States, 94306
Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category.
Tinder’s Engineering team is responsible for building innovative features and resilient systems that bring people together. The Engagement & Growth ML team builds personalization systems that connect members with the right product experiences at the right time.
About the Role:
As a Software Engineer focused on Machine Learning for Engagement & Growth, you will play a pivotal role in shaping how users experience Tinder beyond swipes and matches. You’ll design, implement, and scale machine learning systems that personalize outreach, optimize notifications products, and maximize long-term retention. Responsibilities:
Drive ML modeling efforts for Tinder’s engagement and growth experiences. Personalize notifications, CRM campaigns, and lifecycle journeys to improve member experience and retention. Apply advanced ML methods, including deep learning, reinforcement learning, ranking models and causal inference. Develop large-scale ML systems that serve recommendations with low latency and high reliability. Collaborate with product managers, ML engineers, and backend engineers to integrate models into user-facing experiences. Work with big data pipelines to improve the accuracy, efficiency, and long-term business impact of ML models. Requirements:
2+ years of hands-on machine learning experience, with a track record of delivering impactful solutions at scale. BS, MS or PhD in Computer Science, Statistics, or a related field. Strong expertise in deep learning, ranking/retrieval models, or reinforcement learning. Proficiency in ML frameworks such as PyTorch or TensorFlow. Proficiency in Python, Java, Scala, or similar programming languages. The salary range for this position is $180,000 - $210,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. Commitment to Inclusion
At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
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As a Software Engineer focused on Machine Learning for Engagement & Growth, you will play a pivotal role in shaping how users experience Tinder beyond swipes and matches. You’ll design, implement, and scale machine learning systems that personalize outreach, optimize notifications products, and maximize long-term retention. Responsibilities:
Drive ML modeling efforts for Tinder’s engagement and growth experiences. Personalize notifications, CRM campaigns, and lifecycle journeys to improve member experience and retention. Apply advanced ML methods, including deep learning, reinforcement learning, ranking models and causal inference. Develop large-scale ML systems that serve recommendations with low latency and high reliability. Collaborate with product managers, ML engineers, and backend engineers to integrate models into user-facing experiences. Work with big data pipelines to improve the accuracy, efficiency, and long-term business impact of ML models. Requirements:
2+ years of hands-on machine learning experience, with a track record of delivering impactful solutions at scale. BS, MS or PhD in Computer Science, Statistics, or a related field. Strong expertise in deep learning, ranking/retrieval models, or reinforcement learning. Proficiency in ML frameworks such as PyTorch or TensorFlow. Proficiency in Python, Java, Scala, or similar programming languages. The salary range for this position is $180,000 - $210,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. Commitment to Inclusion
At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
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