About the role
Lead ML Engineer to drive end-to-end ML systems, focusing on recommendations, personalization, and LLM-powered features.
- •Bumble's Machine Learning team shapes how millions connect, build trust, and find belonging by delivering intelligent systems that elevate user experience and safety.
- •This role operates at the intersection of product innovation and technical excellence.
- •Key Responsibilities Own and drive large-scale ML systems for recommendations, ranking, and personalization.
- •Design and architect scalable ML platforms and pipelines using Spark and Airflow.
- •Build and optimize advanced models using PyTorch, including LLM-powered systems.
- •Establish best practices for experimentation and A/B testing.
- •Mentor engineers and foster a culture of technical excellence.
- •Requirements 8-12 years of experience in machine learning and scaling production systems.
- •Strong proficiency in Python and ML frameworks like PyTorch.
- •Expertise in designing scalable ML and data pipelines using distributed systems (Spark, Airflow).
Tech stack
PythonSparkAirflowPyTorchLLMs
Match insights
Tech:Python, Spark, Airflow, PyTorch, LLMs
Level:Lead