Overview
On Site
USD 180,000.00 - 210,000.00 per year
Full Time
Skills
Brand
Accountability
Innovation
SAFE
Honesty
WINS
Apache Spark
Agile
Algorithms
Pivotal
Messaging
Modeling
Customer Relationship Management (CRM)
Collaboration
Big Data
Computer Science
Statistics
Deep Learning
Machine Learning (ML)
PyTorch
TensorFlow
Python
Java
Scala
Programming Languages
Training
Palo Alto
Authorization
Testing
Job Interview
Recruiting
Job Details
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.
The Team
The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high-making the level of impact each engineer gets to have at Tinder enormous.
The Engagement & Growth ML team builds personalization systems that connect members with the right product experiences at the right time. We power Tinder's growth through intelligent notifications, personalized CRM campaigns, and optimized lifecycle journeys that enhance engagement and retention. Our models and algorithms directly influence how millions of users experience Tinder daily, ensuring that their interactions are meaningful, timely, and rewarding.
About the Role:
As a Software Engineer focused on Machine Learning for Engagement & Growth, you will play a pivotal role in shaping how users experience Tinder beyond swipes and matches. You'll design, implement, and scale machine learning systems that personalize outreach, optimize notifications products, and maximize long-term retention. You'll work on cutting-edge ML techniques - spanning deep learning, reinforcement learning, ranking models and causal inference - to deliver the right messaging to the right user at the right time.
Where you'll work:
This is a hybrid role and requires in-office collaboration three times per week. This position is located in Palo Alto, CA.
In this role, you will:Drive ML modeling efforts for Tinder's engagement and growth experiences. Personalize notifications, CRM campaigns, and lifecycle journeys to improve member experience and retention. Apply advanced ML methods, including deep learning, reinforcement learning, ranking models and causal inference. Develop large-scale ML systems that serve recommendations with low latency and high reliability. Collaborate with product managers, ML engineers, and backend engineers to integrate models into user-facing experiences. Work with big data pipelines to improve the accuracy, efficiency, and long-term business impact of ML models.
You'll need:2+ years of hands-on machine learning experience, with a track record of delivering impactful solutions at scale. BS, MS or PhD in Computer Science, Statistics, or a related field. Strong expertise in deep learning, ranking/retrieval models, or reinforcement learning. Proficiency in ML frameworks such as PyTorch or TensorFlow. Proficiency in Python, Java, Scala, or similar programming languages.
$ 180000- $210000 a year
The salary range for this position is $180,000 - $210000. 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 Palo Alto, CA. 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.
Commitment to Inclusion
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ;br>
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
#Tinder
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.
The Team
The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high-making the level of impact each engineer gets to have at Tinder enormous.
The Engagement & Growth ML team builds personalization systems that connect members with the right product experiences at the right time. We power Tinder's growth through intelligent notifications, personalized CRM campaigns, and optimized lifecycle journeys that enhance engagement and retention. Our models and algorithms directly influence how millions of users experience Tinder daily, ensuring that their interactions are meaningful, timely, and rewarding.
About the Role:
As a Software Engineer focused on Machine Learning for Engagement & Growth, you will play a pivotal role in shaping how users experience Tinder beyond swipes and matches. You'll design, implement, and scale machine learning systems that personalize outreach, optimize notifications products, and maximize long-term retention. You'll work on cutting-edge ML techniques - spanning deep learning, reinforcement learning, ranking models and causal inference - to deliver the right messaging to the right user at the right time.
Where you'll work:
This is a hybrid role and requires in-office collaboration three times per week. This position is located in Palo Alto, CA.
In this role, you will:
You'll need:
$ 180000- $210000 a year
The salary range for this position is $180,000 - $210000. 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 Palo Alto, CA. 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.
Commitment to Inclusion
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ;br>
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
#Tinder
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.