Sr. Software Engineer, Generative AI
Match
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 DreamWe 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 ItWe 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 LearningWe 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 SolutionsWe’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 DifferencesWe 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 TeamThe Engineering team at Tinder is dedicated to creating innovative features and robust systems that connect people worldwide. We continuously experiment with new ways to engage our members. Despite our global scale, each engineer has an enormous impact due to our high member-to-engineer ratio, giving you the opportunity to make a real difference.AI is a top priority at Tinder, and our Generative AI team is at the forefront of developing features powered by cutting-edge technologies, including large language models (LLMs) and diffusion models. This is a rare opportunity to work on groundbreaking AI-driven products at a company with a global reach, all while being part of a small, agile team where your contributions are felt every day.
Where you’ll workThis is a hybrid role and requires in-office collaboration two times per week. This position is located in Palo Alto, CA.In this role, you will:Conduct applied research of Generative AI, and develop product prototypes. Stay at the forefront of advancements in AI.Develop Generative AI based features in production.Work with big data (handling billions of user swipes per day).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.You’ll need:5+ years of hands-on 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.In-depth knowledge of deep neural networks, particularly in NLP and CV.Hands on experience in Generative AI.Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.Strong decision-making 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.$180,000 - $220,000 a yearThe salary range for this position is $180,000 - $220,000. 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. 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:
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.
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 DreamWe 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 ItWe 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 LearningWe 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 SolutionsWe’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 DifferencesWe 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 TeamThe Engineering team at Tinder is dedicated to creating innovative features and robust systems that connect people worldwide. We continuously experiment with new ways to engage our members. Despite our global scale, each engineer has an enormous impact due to our high member-to-engineer ratio, giving you the opportunity to make a real difference.AI is a top priority at Tinder, and our Generative AI team is at the forefront of developing features powered by cutting-edge technologies, including large language models (LLMs) and diffusion models. This is a rare opportunity to work on groundbreaking AI-driven products at a company with a global reach, all while being part of a small, agile team where your contributions are felt every day.
Where you’ll workThis is a hybrid role and requires in-office collaboration two times per week. This position is located in Palo Alto, CA.In this role, you will:Conduct applied research of Generative AI, and develop product prototypes. Stay at the forefront of advancements in AI.Develop Generative AI based features in production.Work with big data (handling billions of user swipes per day).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.You’ll need:5+ years of hands-on 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.In-depth knowledge of deep neural networks, particularly in NLP and CV.Hands on experience in Generative AI.Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.Strong decision-making 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.$180,000 - $220,000 a yearThe salary range for this position is $180,000 - $220,000. 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. 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:
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.
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