About the Role
As the Engineering Manager, Machine Learning, you will have the opportunity to lead a team of Machine Learning Engineers that will develop machine learning models and systems for revenue applications.
Our mission is to monetize Tinder’s global user base through subscriptions and premium features. 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.
What You Will Do
- Work on exciting problems that directly impact our revenue
- Design and implement state-of-the-art machine learning algorithms in distributed machine learning frameworks such as Spark
- Define and own the objectives and metrics for your team, and devise a development strategy and roadmap
- Lead and mentor team members to reach their full potential
- Recruit and build an extraordinary engineering team
What You Will Need
- 1+ year of experience managing engineering teams, or tech lead with 4+ years experience and interested in a manager role
- Someone who is not afraid to make critical decisions and has a bias towards action
- Ability to encourage and motivate the team to go above and beyond
- Experience in designing and building highly scalable distributed ML models
- PhD or MS in machine learning, computer science, statistics or other highly quantitative fields
Bonus points if you have
- In-depth knowledge of deep neural networks, classification techniques, computer vision, natural language processing
- Experience with big data frameworks: Spark and Hadoop.
- Experience with AWS.
- Proficiency in deep learning framework: Tensorflow, Keras, etc.
Team Challenges
- Tinder has massive diversified users, and unlimited revenue products to offer. One of the key challenges is to determine which offer is the best fit for a user. We use machine learning and data driven approaches to understand our users and generate segmentations. We then target them differently based on their behaviors and preferences.
- Some example machine learning models that we are working on are conversion prediction, churn prediction, LTV prediction, pricing optimization, etc.