Senior Software Engineer, Tinder

• 5+ years of professional experience in relevant fields
• Hands-on experience in designing and building large-scale recommendation systems
• In-depth knowledge of deep neural networks, particularly in the recommendations domain
• Proficiency in deep learning frameworks such as TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages
• PhD or MS in machine learning, computer science, statistics, or another highly quantitative field

Desirable

• Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder
• Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics
• You'll have a unique opportunity to join a company with a global footprint while working on a team that’s small enough for you to feel the impact each day
• Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational recommendation models
• Leverage your expertise to deliver highly personalized and curated recommendations tailored to our users' preferences
• Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives
• 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 recommendations
• 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