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Principal Machine Learning Engineer, Matching & Recommendations

Bumble Inc.US TX AustinEngineering
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Salary
$345K – $410K
Job type
Full-time
Experience
Principal · 10+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Austin, TX or Remote US, the Principal Machine Learning Engineer, Matching & Recommendations role at Bumble Inc. involves setting the technical direction for matching and recommendation systems. This position is well-suited for a senior technical professional with extensive experience building production-grade machine learning solutions and mentoring teams.

Role Overview

Bumble Inc. is hiring a Principal Machine Learning Engineer for its Matching & Recommendations team in Austin, TX. The person in this role will define the technical and machine learning strategy for recommendation, ranking, and personalization systems while remaining hands-on. The position involves collaborating across Engineering, Product, Data Science, and Analytics to address complex marketplace challenges and improve member outcomes.

Key Responsibilities

Define and lead technical strategy for AI and machine learning systems powering recommendations, ranking, and personalization.
Design, develop, and deploy production-grade models utilizing PyTorch for high-traffic environments.
Build and deploy production AI agents using raw and fine-tuned foundational large language models, sub-agents, tools, and MCP integrations.
Architect end-to-end machine learning pipelines incorporating data processing tools like Spark and Airflow with training and deployment workflows.
Drive experimentation frameworks including A/B testing and offline evaluation.
Partner with Product, Engineering, and Data leadership to translate business needs into machine learning solutions.
Mentor senior individual contributors and foster a collaborative team culture.
Champion responsible AI practices focused on fairness, transparency, and user safety.

Requirements

Typically requires 10 to 15 years of experience, or alternative backgrounds demonstrating equivalent skills.
Deep expertise in machine learning with hands-on experience building and deploying large-scale production systems.
Strong proficiency in Python and at least one major machine learning framework such as PyTorch or TensorFlow.
Expertise in prompting and fine-tuning large language models and building production AI agents.
Proven experience designing scalable data and machine learning pipelines using Spark, Airflow, or similar distributed systems.
Ability to operate as a senior individual contributor and influence technical strategy without direct authority.

Skills and Tools

Python
PyTorch
TensorFlow
Spark
Airflow
Large Language Models (LLMs)
AI Agents
A/B Testing Frameworks

Salary and Benefits

Final compensation ranges from $345K to $410K, determined by qualifications, relevant experience, skill set, and job-related considerations.

About the Company

Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. Founded by Whitney Wolfe Herd in 2014, the platform was initially built with women at the center to facilitate healthy and equitable relationships and connections across dating and friendship.

How to Apply

Interested candidates should apply directly on the official Bumble careers page.

Skills and tech stack

Questions candidates ask

What is the salary range for this position?

The final compensation is between $345,000 and $410,000, determined by qualifications, relevant experience, and skill set.

Where is the job located?

The role is located in Austin, TX.

How many years of experience are required?

The position typically requires 10 to 15 years of experience, though candidates with alternative backgrounds demonstrating equivalent skills are also welcomed.

What core frameworks and tools are expected?

Candidates should have strong proficiency in Python, major machine learning frameworks like PyTorch or TensorFlow, and experience with distributed systems such as Spark and Airflow.

Ready to apply?

The application is on the official Bumble Inc. careers page.

Apply on company site