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.
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 machine learning infrastructure team develops infrastructures and systems that support end-to-end machine learning development cycle, including training, serving, feature management, model management, monitoring and observability, etc.
About The Role
We are looking for a Sr. Software Engineer to help shape and develop the future of Tinder’s Machine Learning infrastructure. Your work will empower teams across Tinder to rapidly test hypotheses and scale their experiments on massive datasets, reaching hundreds of billion data points. In this role, you’ll collaborate closely with multiple machine learning teams to drive impactful innovation.
Where you'll work:
This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA.
In this role, you will:
- Build robust and scalable infrastructure to support the diverse needs of machine learning engineers across all Tinder business units.
- Set future technical directions for Tinder’s ML infrastructure.
- Mentor junior team members.
- Leverage your experience to drive best practices in ML and data engineering.
- Collaborate with cross functional agile teams of software engineers, data engineers, ML experts, and others in building new product features.
- Develop and maintain robust infrastructure for large language models (LLMs).
- Develop strategies for model evaluation and quality assurance.
You’ll need:
- 5+ years of experience with developing platforms related to machine learning training, serving, feature management, experimentation, etc.
- Bachelor’s degree in Computer Science, Engineering, Technology, or a related field.
- Strong understanding of data-driven development, reliability principles, and responsible experimentation practices.
- Extensive experience with big data processing and storage frameworks such as Hadoop, Spark, Flink, Cassandra, or Kafka.
- Solid foundation in machine learning concepts like regression, classification, clustering, training, testing, validation, and performance measurement.
- Proven ability to lead cross-functional initiatives, communicate effectively, and collaborate in team-oriented environments.
- A strong background in distributed systems, cloud computing, and MLOps, with hands-on experience in working with transformers and other deep learning architectures.
- Bridge the gap between cutting-edge research and production-ready AI systems.
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
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