Sr. Anti Abuse Analyst Los Angeles, California Department Engineering

Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category.

In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”

One Team, One Dream

We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.

Own It

We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.

We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.

Spark Solutions

We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.

We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.

The Tinder Integrity team is responsible for systems, algorithms, and policies that keep Tinder and its members safe. It is a multidisciplinary team of engineers, ML practitioners, product managers, analysts, and policy experts.

Our Anti Abuse team is responsible for proactively identifying, investigating and mitigating scaled abuse and other threats to the integrity of Tinder. Works cross-functionally to design, build, test, and implement automated detection signals and algorithms that accurately and effectively target bad actors at scale.

This is a hybrid role and requires in-office collaboration three times per week (Los Angeles).

• Own and lead detection areas, proactively identifying, investigating, and mitigating scaled abuse threats through data-driven insights, automation, and advanced detection techniques.
• Lead and improve the on-call incident response process, ensuring efficient triage, escalation, and resolution of emerging threats. Define best practices and enhance automated responses to minimize manual intervention.
• Monitor and investigate emerging abuse trends, linking anomalous activity to core KPIs and implementing proactive mitigation strategies.
• Mentor and guide junior team members, sharing technical expertise, developing best practices, and ensuring consistency in detection methodologies.
• Drive and deliver complex projects, from problem discovery to execution, ensuring measurable impact while continuously iterating on detection systems.
• Develop scalable, durable and efficient abuse detection systems, optimizing for complexity, precision, and performance while proactively surfacing new abuse tactics and vulnerabilities.
• Discover and address underlying abuse patterns, leveraging reports and insights from different sources to refine detection strategies and create repeatable engineering solutions.
• Collaborate with cross-functional partners (Product, Policy, Member Experience, and Engineering) to align detection strategies with broader safety initiatives.

• 5+ years of experience working on complex abuse-adjacent problems such as Trust & Safety, cybersecurity, fraud, or risk, with a strong track record of ownership and impact.
• Proficiency in Python for automating detection workflows, data manipulation, and analysis
• Strong command of SQL and experience with big data tools like Spark (or similar frameworks)
• Hands on experience building and product ionizing large-scale detection systems, optimizing for performance and scalability
• Experience building dashboards or visualizations using…