At Bumble, our mission is to create a world where all relationships are healthy and equitable. The Trust & Safety team plays a critical role in bringing this to life - building systems that protect our community and ensure millions of people can connect with confidence.
As a Software Engineer within Trust & Safety, you’ll contribute to the core systems that detect, prevent, and respond to harmful behavior at scale. You’ll work on meaningful technical challenges, partnering with engineers, data scientists, and product teams to build reliable and intelligent safety solutions. This role blends strong engineering fundamentals with AI-powered technologies, giving you the opportunity to grow your impact while helping keep our users safe.
We value curiosity, ownership, and thoughtful innovation - and we’re looking for someone who is excited to learn, build, and make a real difference.
What You'll Do
Build, test, and maintain scalable, reliable software that supports Bumble’s Trust & Safety systems
Contribute to the development lifecycle from design through deployment and monitoring, delivering high-quality code
Collaborate with cross-functional partners to implement systems that help detect and prevent harmful behavior
Solve technical problems independently, using sound judgment and creativity to deliver effective solutions
Take ownership of your work, seeing tasks through from idea to impact while adapting with an agile mindset
Leverage AI tools to accelerate development, run operations, improve code quality, and enhance problem-solving efficiency, while applying strong human judgment and accountability
Apply responsible and thoughtful use of AI, validating outputs and ensuring solutions are accurate, fair, and aligned with user safety needs
Contribute to a team culture grounded in curiosity, respect, and continuous improvement
About You
Typically requires 3+ years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills
Experience writing production-level software in at least one modern programming language
Ability to work independently on moderately complex problems and deliver reliable solutions
Strong collaboration and communication skills, with the ability to work effectively across teams
Demonstrates an agile mindset, adapting to new information and following work through to completion
Comfortable using AI-powered tools (e.g. ChatGPT, Claude, Cursor, Copilot) to support coding, learning, and productivity
Experience with ML-assisted development workflows and experimentation
Applies AI thoughtfully and responsibly, reviewing outputs for accuracy, bias, and relevance before use
Curious and motivated to continuously learn new technologies and improve your craft
Nice To Have
Experience with relational and non-relational databases
Familiarity with cloud platforms (eg AWS, Azure, GCP), containerization (eg Docker, Kubernetes), and deployment workflows
Exposure to Trust & Safety, machine learning systems, or recommendation systems
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
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