Senior Machine Learning Engineer

📋 Job Overview

At Bumble, we’re building the Love Company — a place where healthy, equitable relationships and friendships can start and grow. Machine Learning sits at the heart of that mission, helping us understand what makes a meaningful connection and powering the matching, recommendation, and personalization experiences that bring people together.

As a Senior Machine Learning Engineer, Matching & Recommendations, you’ll help build and evolve the ML systems that power how members discover and connect with one another. You’ll work hands-on across recommendations, retrieval, ranking, personalization, experimentation, and production ML, partnering closely with Engineering, Product, Data Science, and Analytics to translate member needs into scalable ML solutions. You’ll own complex projects across the ML lifecycle — from modeling and evaluation through deployment, monitoring, and iteration — while contributing to a culture of technical excellence, curiosity, and responsible AI.

🏢 About Bumble Inc.

Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.

🎯 The Role

As a Senior Machine Learning Engineer, Matching & Recommendations, you’ll help build and evolve the ML systems that power how members discover and connect with one another. You’ll work hands-on across recommendations, retrieval, ranking, personalization, experimentation, and production ML, partnering closely with Engineering, Product, Data Science, and Analytics to translate member needs into scalable ML solutions. You’ll own complex projects across the ML lifecycle — from modeling and evaluation through deployment, monitoring, and iteration — while contributing to a culture of technical excellence, curiosity, and responsible AI.

✅ Key Responsibilities

• Build and deploy machine learning models that improve recommendations, ranking, and personalization, driving measurable impact on user experience and engagement
• Own problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deployment
• Develop and maintain scalable ML pipelines using tools such as Spark and Airflow to support reliable, high-quality model delivery
• Apply modern ML frameworks (e.g. PyTorch or TensorFlow) to design, train, and optimize models in production environments
• Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with an agile mindset
• Collaborate cross-functionally with Product and Engineering, working with purpose to translate product questions into ML solutions
• Take ownership of delivering high-quality solutions and see work through from insight to impact, balancing speed and rigor
• Apply responsible AI practices, ensuring fairness, transparency, and safety are considered in model development and deployment

📌 Required Qualifications

• Typically requires 5–8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
• Strong experience building and deploying machine learning models in production environments
• Proficiency in Python and experience with at least one major ML framework (e.g. PyTorch, TensorFlow)
• Experience working with data pipelines and distributed systems (e.g. Spark, Airflow) to support ML workflows
• Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques
• Ability to collaborate effectively across functions, demonstrating strong ownership and a collaborative mindset
• Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while maintaining focus on outcomes
• Growing AI fluency, with the ability to independently apply ML techniques and emerging tools (including LLMs) to solve problems responsibly

🎁 Benefits

• Salary range: $220K – $250K
• Offers Equity
• Offers Bonus

🛂 Visa & Eligibility

• Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply.