In this role, you will:
- Lead the modeling efforts of Tinder’s recommendation system.
- Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational recommendation models.
- Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives.
- Lead the research and development of novel algorithms and models, staying at the forefront of advancements in recommendation systems and ML technologies.
- Work with big data 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.
- Mentor and guide team members, fostering their growth and enabling them to reach their full potential.
You’ll need:
- 8+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale.
- PhD or MS in machine learning, computer science, statistics, or another highly quantitative field.
- 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 PyTorch, TensorFlow, Keras, etc.
- Proficiency in Python, Java, Scala, or similar programming languages.
- Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence.
- Proven leadership abilities to inspire and motivate teams to excel and achieve ambitious goals.
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