Tinder Trust & Safety is a cross-functional team of highly motivated engineers, data scientists, product managers, community moderators, and anti-fraud specialists. Our projects range from ML

experimentation and deployment, distributed signal processing, and building highly robust account review and moderation pipelines all the way to user-facing in-app safety features.

As Tinder continues to grow and create new and exciting experiences for our users, the challenge of maintaining a safe and protected experience grow ever-larger and more complicated – that’s where Tinder Trust comes in. Our team is responsible for creating a user experience free of abusive behavior such as spam, fake accounts, scams, and toxic behavior, using a combination of state-of-the-art machine learning, human analysis, distributed systems engineering, deep cross-team collaboration, and anything else in-between!

On this team, you will:

• Work with signal Computation, Anti-abuse, Case Moderation, Rules Engines, Real-time stream
• processing, complex transactional APIs, ML data pipelines, and End-user client API
• Report directly to the head of the Trust & Safety engineering team, and will serve as a principal
• technical player across all 4 Trust Engineering teams/lanes
• Be the key steward of the Trust Platform, overseeing architecture, implementation, testing and
• operation of the core systems
• Oversee the architecture and integration of all Trust related backend systems and client APIs
• Conceive, implement, monitor, and improve creative new ML based systems for detecting and
• removing bad actors
• Collaborate across various teams, including product, devops, platform, clients, community, etc.
• Ensure that technical designs support our goals of quality, performance, scalability, reliability,
• availability, maintainability, and security
• Influence the roadmap and product development for the Trust & Safety roadmap
• Guide, inspire, and mentor engineers across the Trust organization
• Drive new technical initiatives that will ultimately improve the day-to-day efficiency of all users
• of the internal Tools platform

We're looking for:

• Excellent knowledge of Computer Science fundamentals, with strong competencies in data
• structures, algorithms, software design and coding
• Hands on experience building distributed backend systems handling high volumes of traffic
• Experience in handling ambiguous business requirements with excellent prioritization, time
• management abilities, and a focus on execution
• Passion to solve complex problems and make continuous improvements
• Experience working in a collaborative team environment
• Hands-on experience with database technologies at scale (either SQL or NoSQL)
• Strong Java/Scala skills and experience
• Eagerness to keep learning and growing, and a passion for providing mentorship
• Passionate about making high user impact and moving key metrics
• A BS, MS, or PhD in Computer Science or Engineering from a top school, but a wonderful
• project list is even better

Bonus points if you have:

• Extensive experience using streaming technologies such as Flink, Spark, Beam
• Experience with Kafka, ElasticSearch, Redis
• Experience with Docker containers along with Kubernetes or ECS
• Leadership experience
• Implemented machine learning algorithms in production
• NodeJS experience
• AWS/Devops skills

As part of our team, you’ll enjoy:

· The hustle of a startup with the impact of a global business

· Tremendous opportunity to seek some of the industry’s most exciting problems

· Working with an outstanding team of creative, fun and highly motivated people

· Comprehensive health coverage, competitive salary, and 401(k) match

At Tinder, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Tinder is proud to be an equal opportunity workplace.