Match Group
Dallas, Texas, United States
5,001-10,000 Employees
Tech
Staff Software Engineer, Machine Learning
Palo Alto, California, US
Posted on Jan 28, 2026
Full TimeSeniorHybridTinder
Job Description
Our Mission
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”™"
Our Values
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.
Never Stop Learning
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.
Embrace Our Differences
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.
Team Introduction
The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem.
About the Role
In this position, we are looking for a highly motivated and experienced Staff-level Machine Learning Engineer who operates at the boundary of multiple domains and partners closely with the Director of Engineering. This is a senior individual contributor role for someone who thrives in ambiguity, can step into complex or struggling initiatives across domains, and help drive them back on track through hands-on technical leadership. While most ML engineers are embedded within a single pod, this role is intentionally cross-cutting. You will work across domains (for example, Trust & Safety and Profile, or Recommendations and Growth), identifying gaps, unblocking execution, and setting technical direction where ownership is unclear, or problems span multiple teams.
In this role, you will operate in multiple modes depending on the needs of the organization. At times, you will act as a hands-on technical leader, driving complex initiatives that span multiple teams. At other times, you will embed with a single pod to provide deep technical support and help unblock execution. You will also act as a strategic thought partner to engineering managers—helping shape direction and identify gaps, risks, and opportunities across ML systems that cut across domains. In addition, you will work closely with domain tech leads as a cross-domain advisor, helping bridge architectures, data, and decisions across teams.
This role offers a unique opportunity to gain deep, end-to-end understanding of how machine learning operates across every corner of Tinder’s product and bring strategic view into the team together with engineering manager, while having a direct hands-on impact as IC.
Where you'll work
This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA
About Match Group
Match Group (NASDAQ: MTCH) is a leading provider of online dating services worldwide. The company, established in 2009, revolutionized the way people connect and find love through its diverse portfolio of popular dating platforms. Match Group's innovative technology and user-friendly interfaces have transformed the dating landscape, making it easier for individuals to meet their perfect match.
With a commitment to continuous growth and expansion, Match Group remains at the forefront of the...
Job overview
Employment type
Full Time
Experience level
Senior
Work type
Hybrid
Department
Tinder
Posted
on Jan 28, 2026
Financials
Type
public
Annual Revenue
--
Market Cap
$7.9B+
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