Senior Machine Learning Engineer

Bumble; Austin, Northern (TX, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Bumble Inc. is seeking an experienced machine learning professional to build and deploy models that enhance recommendations, ranking, and personalization for users.

You will own projects end-to-end, from data exploration to production deployment, and develop scalable ML pipelines using Spark and Airflow. Proficiency in Python and at least one major ML framework is required, with a strong background in experimentation and cross-functional collaboration.

Qualifications

• Typically requires 5-8 years of experience.
• Strong experience building and deploying ML 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).
• Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques.
• Ability to collaborate effectively across functions, showing ownership and collaboration.
• Demonstrates an agile mindset, adapting approaches based on data and priorities.
• Growing AI fluency, applying ML techniques and emerging tools responsibly.

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, translating 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

Skills

Python

ML frameworks

Distributed systems

Experimentation

Ownership & collaboration

Tools

Spark

Airflow

PyTorch

TensorFlow

Job description

What you'll do

• 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

About You

• 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

About Us

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.

AI Fluency

AI is important to us. We're excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.

We encourage you to use AI responsibly as you prepare your application. Please don’t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.

Final Compensation

Will be determined based on factors such as the selected candidate’s qualifications, relevant experience, skill set, and other job-related considerations.

Inclusion at Bumble Inc.

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. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

AI in Bumble Inc. Hiring

At Bumble, we may use AI tools to support parts of our recruitment process - such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team’s efficiency and improve the candidate experience - not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly.

For further information on how we hold and manage your data, please refer to our Privacy Policy.