Staff Software Engineer Machine Learning
Staff Software Engineer Machine Learning
Posted on :
15-03-2025
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1 Vacancy
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Monthly Salary
$ 245000 - 310000
Vacancy
1 Vacancy
Posted on :
15-03-2025
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 firstever global brand campaign It Starts with a Swipe
Our Values
One Team One Dream
We work handinhand 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 its 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
Were problem solvers focusing on how to best move forward when faced with obstacles. We dont 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. Were always experimenting with new features to engage with our members. Although we are a highscale tech company the membertoengineer ratio is very highmaking the level of impact each engineer gets to have at Tinder enormous. Our ML team is responsible for developing machine learning algorithms and systems for Tinder recommendations. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. Youll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day.
About The Role
As a Staff Software Engineer focused on recommendations youll play a pivotal role in shaping the future of personalized matchmaking at Tinder. Working closely within our ML team youll design implement and scale systems that influence millions of users worldwide. Leveraging cuttingedge machine learning techniques youll drive key innovations that enhance user experiences and improve critical business outcomes. Your work will directly contribute to optimizing our recommendation algorithms ensuring users discover meaningful connections while balancing the ecosystems health. With Tinders global scale and impact youll be at the forefront of solving some of the most complex challenges in technology.
Where youll work
This is a hybrid role and requires inoffice collaboration twice per week. This position is located in Palo Alto CA.
In this role you will:
- Lead the modeling efforts of Tinders recommendation system.
- Apply stateoftheart machine learning techniques including deep learning reinforcement learning causal inference and optimization to enhance our foundational models.
- Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives.
- Lead the research and development of novel algorithms and models staying at the forefront of advancements in ML technologies.
- Work with big data to improve the accuracy and relevance of recommendations.
- Collaborate with other machine learning engineers backend software engineers and product managers to integrate ML models into our systems improving user experience and driving business objectives.
- Mentor and guide team members fostering their growth and enabling them to reach their full potential.
Youll need:
- 8 years of handson experience in machine learning with a proven track record of delivering impactful solutions at scale.
- PhD or MS in machine learning computer science statistics or another highly quantitative field.
- Handson experience in designing and building largescale recommendation systemsIndepth knowledge of deep neural networks particularly in the recommendations.
- Proficiency in deep learning frameworks such as PyTorch TensorFlow Keras etc.
- Proficiency in Python Java Scala or similar programming languages.
- Strong decisionmaking skills with a bias for action and the ability to navigate ambiguity with confidence.
- Proven leadership abilities to inspire and motivate teams to excel and achieve ambitious goals.
$245000 $310000 a year
The salary range for this position is $245000 $310000. Factors such as scope and responsibilities of the position candidates work experience education/training jobrelated 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. 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 dont 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 dont 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: you require reasonable accommodation to complete a job application preemployment testing or a job interview or to otherwise participate in the hiring process please speak to your Talent Acquisition Partner directly.
#Tinder
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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