Principal ML Engineer — Matching & Personalization AI

Bumble; Austin, Northern (TX, KY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Bumble Inc. is seeking a Principal Machine Learning Engineer to shape the technical strategy for matching and recommendations across Bumble products.

You’ll stay hands-on while guiding retrieval, ranking, personalization, experimentation, and two‑sided marketplace optimization. Collaborate with Product, Engineering, Data Science, and Analytics to translate ambiguous member problems into scalable ML solutions, mentor senior ICs, and drive responsible AI practices that improve meaningful

Qualifications

• Deep expertise in machine learning, hands-on experience building and deploying large-scale systems.
• Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
• Experience with NLP, LLMs, and production AI agents.

Responsibilities

• Define and lead the technical strategy for ML systems powering recommendations and personalization.
• Develop production-grade models using PyTorch in high-traffic environments.
• Build and deploy production AI agents using LLMs and tools.
• Architect end-to-end ML pipelines integrating data processing with training and deployment workflows.
• Drive experimentation frameworks and offline evaluation to improve model performance.

Skills

Machine learning

Python

PyTorch

NLP

LLMs

Distributed systems

Tools

Spark

Airflow

Job description

Bumble Inc. is seeking a Principal Machine Learning Engineer to shape the technical strategy for matching and recommendations across Bumble products.

You’ll stay hands-on while guiding retrieval, ranking, personalization, experimentation, and two‑sided marketplace optimization. Collaborate with Product, Engineering, Data Science, and Analytics to translate ambiguous member problems into scalable ML solutions, mentor senior ICs, and drive responsible AI practices that improve meaningful