Senior Machine Learning Engineer

Bumble; Austin (TX); On-site; USD 220,000 - 250,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Unlimited PTO

Fully paid life and long-term disability insurance

401k with 4% company match

Monthly wellness benefit

Paid parental leave

Job summary

Bumble is searching for a Senior Machine Learning Engineer to build and deploy machine learning models that enhance user experience. You will collaborate with Product and Engineering teams, apply responsible AI practices, and work on impactful projects.

With 5+ years of experience in ML, proficiency in Python, and familiarity with tools such as Spark and Airflow, you'll have the opportunity to make a direct impact in a thriving environment.

Benefits include competitive insurance packages, unlimited PTO, and paid parental leave.

Qualifications

• Typically requires 5–8 years of experience in machine learning.
• Strong experience building and deploying models in production environments.
• Ability to collaborate effectively across functions.

Responsibilities

• Build and deploy machine learning models that improve user experience.
• Own end-to-end problems from data exploration to production deployment.
• Develop scalable ML pipelines using tools like Spark and Airflow.

Skills

Building and deploying machine learning models

Proficiency in Python

Experience with ML frameworks (e.g., PyTorch, TensorFlow)

Experience with data pipelines (e.g., Spark, Airflow)

A/B testing and model evaluation

Collaborative mindset

Education

5-8 years of experience

Tools

Spark

Airflow

Job description

Introduction to the role & team

At Bumble, we’re building a world where all relationships are healthy and equitable, and machine learning is central to how we make that real for millions of people every day. As part of our Machine Learning team, you’ll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform.

As a Senior Machine Learning Engineer, you’ll own impactful problems end-to-end—from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data partners. You’ll bring curiosity into how we experiment, iterate, and improve, and you’ll role model our values of Curiosity and Excellence by continuously raising the bar in how we build and apply AI.

AI is deeply embedded in how we evolve at Bumble. In this role, you’ll independently apply modern machine learning and emerging AI techniques, contributing to scalable systems while ensuring thoughtful, responsible use of AI in everything we ship.

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 optimise 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

Benefits & Perks

• Insurance: Medical/dental/vision, 30-day eligibility. Bumble has multiple competitive offerings that will be available to you on the first of the month following date of hire.
• Unlimited PTO + 1 company-wide week off + Focus Fridays every week
• Fully paid life and long-term disability insurance
• 401k with 4% company match if you contribute 6%, 90-day eligibility
• Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
• Maternity and Fertility benefit + 26 week paid parental leave
• Premium App Access

Compensation

220000 - 250000 USD a year

EEO Statement

Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, 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.