Senior Software Engineer, Tinder

• 5+ years of experience in machine learning, with a proven track record of building models to deliver impactful solutions at scale
• PhD or MS in machine learning, computer science, statistics, or another highly quantitative field
• Experience with one or more of the following - causal inference, reinforcement learning, uplift modeling, contextual bandits, conversion rate prediction
• Hands-on experience in designing and building large-scale ML systems
• Hands-on experience in using big data batch/stream processing frameworks such as Spark and Flink
• Proficiency in deep learning frameworks such as PyTorch, Tensorflow, etc. as well as general purpose ML frameworks such scikit-learn and SparkML
• Proficiency in Python, Scala, Java or similar programming languages

Desirable

• The Engineering team is responsible for building innovative features and resilient systems that bring people together
• We're always experimenting with new features to engage with our members
• Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous
• The revenue team’s mission is to monetize Tinder's global user base and increase user outcomes through subscriptions and ala-carte features
• Our ML Revenue team uses machine learning driven approaches to provide tailored and best-in-class premium product offerings to our users
• As a software engineer focused on Machine learning in the revenue team, you’ll play a pivotal role in shaping the monetization roadmap of Tinder
• Our team works on optimizing our promotions strategy, delivering the most relevant and personalized product recommendations to our users as well as supporting passive monetization efforts such as ads
• As a part of our revenue ML team, you will help develop machine learning models and systems using cutting-edge technologies in causal inference, reinforcement learning, and deep learning
• You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day
• With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology
• Apply state-of-the-art machine learning techniques, including causal inference, reinforcement learning, deep learning and optimization in the monetization domain
• Leverage your expertise to optimize our promotions strategy and recommend most relevant premium products to our users
• Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark
• Work with big data (handling 1.6B+ user swipes per day) to improve the accuracy and relevance of our prediction models
• Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives