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 Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member’s behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder.
We are seeking a passionate and motivated Senior Data Scientist to join Tinder’s Revenue team. In this role you will partner with Design, Product, Engineering, Machine Learning, and Finance teams to help drive the product roadmap. The ideal candidate will use their expertise in product analytics, monetization strategies, and data science methods to help us make better decisions in the pricing, machine learning offers, and premium experiences space. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap.
Where you’ll work:
This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, CA.
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: https://www.lifeattinder.com/dei
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
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Senior Machine Learning Engineer to design, deploy, and scale production ML pipelines and infrastructure for recommendation and content-understanding systems at Bumble's Austin office.
Lead Rackspace's Data Science, AI & ML practice to deliver high-impact cloud AI solutions and grow a team of architects, data scientists, and ML engineers across customer engagements.
GPTZero is hiring a Machine Learning Engineer (GenAI) to develop and fine-tune LLM agents, optimize prompts and RAG pipelines, and deliver production-quality AI features that support critical thinking.
Ello, a mission-focused AI education startup, is hiring an ML Engineer to bridge research and production by building scalable speech and LLM-based systems that power a 1:1 AI tutor for children.
Work at the intersection of AI and finance as a Machine Learning Engineer responsible for building production-grade ML/AI pipelines, model monitoring, and agentic workflows that drive investment decisions.
Lead the design and production deployment of scalable ML pipelines and model-serving systems to power recommendations and content understanding for millions of Bumble users.
Bounteous seeks an experienced AI Architect to design and guide the delivery of scalable, responsible AI solutions and to provide technical leadership across client engagements.
Experienced credit-focused data scientist needed to build, deploy, and monitor production-ready credit models while partnering with MLOps and governance teams to ensure reliable, auditable delivery.
Contribute to industry-leading bovine genetic programs as a Genetic Data Analytics Intern, performing data mining, pipeline development, and analyses to support breeding and genomic strategies.
Customer-facing AI engineer focused on designing and operationalizing advanced prompts, prompt chains, and linguistic patterns to produce high-quality, formatted content for WRITER’s enterprise customers.
Early-career data scientist joining AIG’s new Generative AI team to develop and operationalize ML/LLM solutions that drive innovation across the business.
Visa is hiring Data Scientists to build and operationalize predictive risk models and analytic products that drive secure, scalable payments decisions.
Lead end-to-end development and production deployment of ML and generative AI solutions to accelerate social-impact programs as a remote Full Stack Data Scientist on a product team.
Our mission is to spark meaningful connections for every single person worldwide.
16 jobs