Bumble Inc.
At Bumble, we're building a world where all relationships are healthy and equitable, and machine learning is central to making that real for millions of people every day. As part of our Machine Learning team in Recommendations, you'll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform. As a Machine Learning Engineer, you'll own ML problems end-to-end, from data exploration through to production. You'll bring curiosity to 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 work with modern machine learning and emerging AI techniques, contributing to scalable systems and helping ensure AI is applied thoughtfully and responsibly in what we ship. What you will be doing Explore, develop, and deliver cutting edge technology using the latest advances in deep learning and machine learning to personalize recommendations at Bumble Own defined problems end to end, from data exploration and feature engineering through to model training, evaluation, and production deployment 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 Maintain and monitor production models, diagnose issues, and iterate to keep them reliable at scale. 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 We'd love to meet someone with Around 3 years of hands on experience building and shipping machine learning models in production. Strong programming skills in Python and solid proficiency with an ML framework such as PyTorch or TensorFlow. Industry experience in researching or applying machine learning, especially if in recommender systems, ranking or personalisation Good understanding of MLOps and infrastructure concepts: CI/CD for ML, feature stores, model serving, observability, and versioning. Familiarity with containerisation and cloud native environments (e.g. Docker, Kubernetes, GCP). Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques 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 An added bonus if you have Practical experience with recommendation systems, ranking, search or personalisation Expertise in modern machine learning architectures (e.g., transformers, graph neural networks, contrastive learning, and multi modal embeddings) Final Compensation: Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job related considerations. Benefits & Perks Annual personal learning & development budget Private Medical Insurance (PMI) Private Dental Insurance Babylon Health app Mental health support Enhanced parental leave, including a highly competitive maternity package Unlimited PTO Subsidised gym membership 'Double matched' pension contributions up to 6% Premium App Access 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). 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.
At Bumble, we're building a world where all relationships are healthy and equitable, and machine learning is central to making that real for millions of people every day. As part of our Machine Learning team in Recommendations, you'll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform. As a Machine Learning Engineer, you'll own ML problems end-to-end, from data exploration through to production. You'll bring curiosity to 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 work with modern machine learning and emerging AI techniques, contributing to scalable systems and helping ensure AI is applied thoughtfully and responsibly in what we ship. What you will be doing Explore, develop, and deliver cutting edge technology using the latest advances in deep learning and machine learning to personalize recommendations at Bumble Own defined problems end to end, from data exploration and feature engineering through to model training, evaluation, and production deployment 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 Maintain and monitor production models, diagnose issues, and iterate to keep them reliable at scale. 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 We'd love to meet someone with Around 3 years of hands on experience building and shipping machine learning models in production. Strong programming skills in Python and solid proficiency with an ML framework such as PyTorch or TensorFlow. Industry experience in researching or applying machine learning, especially if in recommender systems, ranking or personalisation Good understanding of MLOps and infrastructure concepts: CI/CD for ML, feature stores, model serving, observability, and versioning. Familiarity with containerisation and cloud native environments (e.g. Docker, Kubernetes, GCP). Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques 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 An added bonus if you have Practical experience with recommendation systems, ranking, search or personalisation Expertise in modern machine learning architectures (e.g., transformers, graph neural networks, contrastive learning, and multi modal embeddings) Final Compensation: Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job related considerations. Benefits & Perks Annual personal learning & development budget Private Medical Insurance (PMI) Private Dental Insurance Babylon Health app Mental health support Enhanced parental leave, including a highly competitive maternity package Unlimited PTO Subsidised gym membership 'Double matched' pension contributions up to 6% Premium App Access 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). 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.
Bumble Inc.
What you'll do Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety Design, develop, and deploy production grade models using modern ML frameworks such as PyTorch, ensuring scalability and reliability in high traffic environments Build and deploy production AI Agents using raw and fine tuned foundational Large Language Models (LLMs), along with sub agents, tools, and MCP integrations Architect end to end ML pipelines, integrating data processing (e.g., Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems About you Typically requires 10-15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills. Deep expertise in machine learning, with hands on experience building and deploying large scale systems in production environments. Strong proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP. Expertise in prompting and fine tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision making without direct authority. Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments. A track record of mentoring and uplifting others, role modeling Respect and Excellence while building inclusive, high performing teams. Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems and guide others in the responsible and effective application of AI. Benefits & Perks Annual personal learning & development budget Private Medical Insurance (PMI) Private Dental Insurance Babylon Health app Mental health support Enhanced parental leave, including a highly competitive maternity package Unlimited PTO Subsidised gym membership 'Double matched' pension contributions up to 6% Premium App Access Final Compensation Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job related considerations. Equal Opportunity Employer 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).
What you'll do Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety Design, develop, and deploy production grade models using modern ML frameworks such as PyTorch, ensuring scalability and reliability in high traffic environments Build and deploy production AI Agents using raw and fine tuned foundational Large Language Models (LLMs), along with sub agents, tools, and MCP integrations Architect end to end ML pipelines, integrating data processing (e.g., Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems About you Typically requires 10-15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills. Deep expertise in machine learning, with hands on experience building and deploying large scale systems in production environments. Strong proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP. Expertise in prompting and fine tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision making without direct authority. Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments. A track record of mentoring and uplifting others, role modeling Respect and Excellence while building inclusive, high performing teams. Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems and guide others in the responsible and effective application of AI. Benefits & Perks Annual personal learning & development budget Private Medical Insurance (PMI) Private Dental Insurance Babylon Health app Mental health support Enhanced parental leave, including a highly competitive maternity package Unlimited PTO Subsidised gym membership 'Double matched' pension contributions up to 6% Premium App Access Final Compensation Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job related considerations. Equal Opportunity Employer 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).