Staff Software Security Engineer - AI

About Match Group

Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.

Match Group is on a mission to change the world, bringing people together and facilitating millions of connections that otherwise might not have been possible. With tens of millions of users and an expansive global presence, our reach is expansive - and rapidly growing.

We are flexible and offer remote or hybrid working models in the United States as options to accommodate our team. Match Group is headquartered in Dallas, TX with offices in LA, Palo Alto, and New York.

About the Role

We're looking for an AI focused Staff Software Security Engineer to join our team.

As an AI Software Security Engineer you will help ensure the highest standard of security for Match Group products and our members. The scope of the role spans applications, infrastructure, devices, vendors, and anything else potentially at risk to the organization.

How You’ll Make an Impact

• Develop tooling leveraging AI to identify security vulnerabilities in code and configuration oversights.
• Pursue strategies to reduce tooling noise and false positives, leaving actionable security vulnerabilities to prioritize with the brand teams.
• Interface with engineering teams and effectively convey impact and provide remediation guidance for vulnerabilities.
• Take ownership of the security research function to contribute to the security blog and speak at security conferences.

We Could Be a Match if You Have

• At least 5 years of professional experience in application security.
• The ability to effectively partner and communicate with Engineering and Product teams.
• Experience securing large-scale web/mobile applications, including performing security code reviews, vulnerability assessments, and manual testing for logic flaws.
• Experience with various prompt engineering techniques and AI models to effectively develop tooling.
• Ability to write clean and maintainable code integrating across various systems.
• Experience publicly writing about or presenting security related work.
• Bachelor’s Degree in Computer Science or related field.

Candidates that will excel in the role have technical backgrounds within security and are well-versed in manually identifying vulnerabilities as well as having a track record of writing security-adjacent code. Experience with various prompt engineering techniques, models, and strategies is strongly preferred.

Compensation & Benefits

Salary: $180,000 - $210,000 a year

The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in the United States. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Why Match Group? Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:

• Mind & Body: Medical, mental health, and wellness benefits to support your overall health and well-being.
• Financial Wellness: Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security.
• Unplug: Generous PTO and 18 paid holidays so you can unplug.
• Career: Annual training allowance for professional development.

Employment Details

Employment Type: Full-time

Location

Location Type: Remote or Hybrid in the United States