Machine Learning Engineer

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>

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

$220,000 - $250,000 a year

For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.

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: Inclusive of domestic violence recovery.

Unlimited Paid Time Off: Take the time you need.

Company-wide Week Off: Annual collective rest for the entire company., 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

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).

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., 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.