Bumble Inc.
Base Pay Range
$240,000.00/yr - $292,500.00/yr
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’ll make reasonable adjustments to help you feel confident through the hiring process.
Staff Machine Learning Engineer – Recommendations As a Staff Machine Learning Engineer in the Recommendations group, you will be one of the most senior individual contributors shaping the technical direction and strategy behind how millions of people connect across Bumble’s apps. You will work across multiple teams, designing scalable, reliable systems that power our recommendation and content‑understanding models globally.
What you’ll do
Lead the technical strategy and architectural evolution of Bumble’s ML recommendation and content‑understanding systems
Partner with engineering and product leaders to align long‑term ML platform investments with business priorities and member impact
Design and guide the development of scalable pipelines and serving systems that support pre‑trained, fine‑tuned, and in‑house models at high throughput
Define and champion best practices for reliability, observability, and retraining across the ML lifecycle
Collaborate with ML scientists to bring cutting‑edge research into production, improving model performance and iteration velocity
Mentor and support other ML Engineers and Scientists, raising the bar for engineering excellence and technical decision‑making
Drive cross‑functional technical initiatives across Recommendations, Platform, and other product areas
Diagnose and resolve complex production challenges across data, infrastructure, and model systems, ensuring long‑term health and scalability of our ML ecosystem
Represent Bumble’s ML engineering practices internally (through guilds, design reviews, and architecture councils) and externally (through talks, publications, or open‑source contributions)
Minimum requirements
Typically 8+ years of professional experience building and operating machine learning systems
An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
Strong software engineering background; write clean, scalable, and maintainable code in Python or similar languages
Deep expertise in building, deploying, and scaling production ML systems at large scale
Proven ability to define and lead technical strategy or architecture for complex, distributed ML platforms or pipelines
Experience with production‑grade ML frameworks (e.g. PyTorch, TensorFlow) and orchestration tools (e.g. Airflow, Kubeflow, Ray, or SageMaker)
Proficiency with cloud‑native environments and containerised workloads (e.g. Docker, Kubernetes, GCP/AWS)
Deep understanding of MLOps, observability, and model lifecycle management
Track record of mentoring engineers and influencing engineering practices across teams
Excellent communicator who can translate between technical detail and business impact
Passionate about responsible ML—fairness, transparency, and reliability in real‑world systems
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. We ask that you’re within a commutable distance to the office so that you can 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, 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 a pioneer of web and mobile dating products. Bumble For Friends is a friendship app where people in all life stages can meet nearby and create meaningful platonic connections. Geneva is a group and community app for people to connect based on shared interests.
AI in Bumble 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.
Benefits
Medical, Dental, Vision
401(k) match
Unlimited Paid Time Off Policy
Company‑wide Week Off: Annual collective rest for the entire company
Focus Fridays: No meetings, emails, or deadlines—just deep work
Specialized benefits: Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more; 26 Weeks Parental Leave for both primary and secondary caregivers; Family & Compassionate Leave that includes domestic violence recovery
#J-18808-Ljbffr
$240,000.00/yr - $292,500.00/yr
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’ll make reasonable adjustments to help you feel confident through the hiring process.
Staff Machine Learning Engineer – Recommendations As a Staff Machine Learning Engineer in the Recommendations group, you will be one of the most senior individual contributors shaping the technical direction and strategy behind how millions of people connect across Bumble’s apps. You will work across multiple teams, designing scalable, reliable systems that power our recommendation and content‑understanding models globally.
What you’ll do
Lead the technical strategy and architectural evolution of Bumble’s ML recommendation and content‑understanding systems
Partner with engineering and product leaders to align long‑term ML platform investments with business priorities and member impact
Design and guide the development of scalable pipelines and serving systems that support pre‑trained, fine‑tuned, and in‑house models at high throughput
Define and champion best practices for reliability, observability, and retraining across the ML lifecycle
Collaborate with ML scientists to bring cutting‑edge research into production, improving model performance and iteration velocity
Mentor and support other ML Engineers and Scientists, raising the bar for engineering excellence and technical decision‑making
Drive cross‑functional technical initiatives across Recommendations, Platform, and other product areas
Diagnose and resolve complex production challenges across data, infrastructure, and model systems, ensuring long‑term health and scalability of our ML ecosystem
Represent Bumble’s ML engineering practices internally (through guilds, design reviews, and architecture councils) and externally (through talks, publications, or open‑source contributions)
Minimum requirements
Typically 8+ years of professional experience building and operating machine learning systems
An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
Strong software engineering background; write clean, scalable, and maintainable code in Python or similar languages
Deep expertise in building, deploying, and scaling production ML systems at large scale
Proven ability to define and lead technical strategy or architecture for complex, distributed ML platforms or pipelines
Experience with production‑grade ML frameworks (e.g. PyTorch, TensorFlow) and orchestration tools (e.g. Airflow, Kubeflow, Ray, or SageMaker)
Proficiency with cloud‑native environments and containerised workloads (e.g. Docker, Kubernetes, GCP/AWS)
Deep understanding of MLOps, observability, and model lifecycle management
Track record of mentoring engineers and influencing engineering practices across teams
Excellent communicator who can translate between technical detail and business impact
Passionate about responsible ML—fairness, transparency, and reliability in real‑world systems
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. We ask that you’re within a commutable distance to the office so that you can 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, 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 a pioneer of web and mobile dating products. Bumble For Friends is a friendship app where people in all life stages can meet nearby and create meaningful platonic connections. Geneva is a group and community app for people to connect based on shared interests.
AI in Bumble 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.
Benefits
Medical, Dental, Vision
401(k) match
Unlimited Paid Time Off Policy
Company‑wide Week Off: Annual collective rest for the entire company
Focus Fridays: No meetings, emails, or deadlines—just deep work
Specialized benefits: Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more; 26 Weeks Parental Leave for both primary and secondary caregivers; Family & Compassionate Leave that includes domestic violence recovery
#J-18808-Ljbffr