Job Specifications
Inclusion at Bumble Inc.
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.
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
As a Machine Learning Engineer focused on scalability and productionisation, you will bring advanced machine learning models to life in production, from content understanding systems that interpret profiles, photos and text, to recommendation models that shape every match. You will build and scale the pipelines, infrastructure and automation that transform experimentation into reliable, high-impact features for our members.
What you'll do
Design, build and optimise ML pipelines and production systems that train, evaluate and serve recommendation models efficiently and at scale
Work in a cross-functional team alongside data scientists, machine learning scientists, software engineers and both technical and non-technical stakeholders
Partner with ML Scientists to translate research models into efficient, maintainable, and well-tested production systems
Implement monitoring, observability, and retraining strategies to ensure continuous model performance in a dynamic, global environment
Contribute to the evolution of our ML infrastructure, including CI/CD, model registries, and feature stores
Diagnose and resolve production ML issues, such as data inconsistencies and model drift, to identify and resolve infrastructure bottlenecks
Champion engineering best practices for scalability, reliability, and reproducibility across the ML lifecycle
Minimum requirements
2+ years of relevant industry experience
An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
Strong software engineering background. You write clean, scalable, and maintainable code in Python or similar languages
Proven experience deploying and operating ML systems in production environments
Deep understanding of MLOps and infrastructure concepts: CI/CD for ML, feature stores, model serving, observability, and versioning
Experience with modern ML frameworks (e.g. PyTorch, TensorFlow) and orchestration tools (e.g. Airflow, Kubeflow, SageMaker, Ray)
Familiarity with containerisation and cloud-native environments (e.g. Docker, Kubernetes, GCP/AWS)
Skilled at debugging complex, distributed ML systems and optimising for performance at scale
Excellent communicator and collaborator. You communicate effectively with scientists, engineers, and non-technical stakeholders
Interested in contributing to the responsible development of ML and AI, with a focus on building systems that are fair, equitable and accountable
Why join us
Own meaningful projects that directly impact millions of Bumble users
Learn and grow in a high-performing engineering team committed to mentorship and learning
Be part of a culture that values respect, excellence, curiosity, courage and joy.
Enjoy competitive compensation, equity, and world-class benefits
Location
This role is based in Austin, and we ask that you’re within a commutable distance to this office, so that you’re able to come onsite regularly to collaborate across engineering teams.
We have a hybrid environment that requires you to be in the office Monday - Wednesday.
Please note: We are unable to offer Visa sponsorship at this time
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 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 pr
About the Company
Bumble Inc. is the parent company of Bumble, Badoo, Bumble For Friends, and Geneva. 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), friendship (Bumble For Friends) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Bumble For Fr...
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