Sr. Software Engineer, Machine Learning Revenue
Description For Sr. Software Engineer, Machine Learning Revenue
Tinder, the revolutionary dating app that has facilitated over 97 billion matches, is seeking a Senior Software Engineer specializing in Machine Learning Revenue. This role sits at the intersection of AI and business impact, focusing on monetizing Tinder's global user base through ML-driven approaches. The position is part of the revenue team, which is responsible for optimizing promotions strategy and delivering personalized premium product offerings to users.
The role offers a unique opportunity to work with massive scale - handling over 1.6B user swipes daily - while applying cutting-edge technologies in causal inference, reinforcement learning, and deep learning. You'll be working in a hybrid environment in Palo Alto, collaborating with a tight-knit team where your impact will be immediately visible.
The ideal candidate brings 5+ years of ML experience and advanced education in computer science or related fields. You'll need expertise in modern ML frameworks, big data processing, and a track record of building impactful solutions at scale. The compensation range of $205,000 - $260,000 reflects the senior nature of this position.
Tinder offers a collaborative culture built on values like "One Team, One Dream" and "Never Stop Learning." They actively promote diversity and inclusion, welcoming people of all backgrounds. This is an exceptional opportunity to join a technology leader while working on complex challenges that directly impact millions of users worldwide.
Responsibilities For Sr. Software Engineer, Machine Learning Revenue
- Apply state-of-the-art machine learning techniques including causal inference, reinforcement learning, deep learning and optimization
- Optimize promotions strategy and recommend premium products to users
- Design and implement machine learning algorithms using deep learning frameworks and distributed data processing
- Work with big data (1.6B+ user swipes per day) to improve prediction models
- Collaborate with engineers and product managers to integrate ML models into systems
Requirements For Sr. Software Engineer, Machine Learning Revenue
- 5+ years of experience in machine learning
- PhD or MS in machine learning, computer science, statistics, or quantitative field
- Experience with causal inference, reinforcement learning, uplift modeling, contextual bandits, conversion rate prediction
- Experience in designing and building large-scale ML systems
- Experience in using big data batch/stream processing frameworks like Spark and Flink
- Proficiency in deep learning frameworks like PyTorch, Tensorflow
- Proficiency in Python, Scala, Java or similar programming languages
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