Match
Overview
Our Mission Tinder launched in 2012 and has grown to connect people across the globe, with millions of users and interactions that reflect real connection. The company won multiple awards, including Effie Awards for its global brand campaign. Our Values One Team, One Dream
– We work collaboratively across functions, teams, and time zones to achieve our vision. Own It
– We take accountability and strive for excellence through ownership and innovation. Never Stop Learning
– We foster a culture that embraces risk, feedback, and continuous improvement. Spark Solutions
– We focus on moving forward, staying agile to overcome obstacles. Embrace Our Differences
– We build a diverse workplace to better serve our members and our team. Where you’ll work This is a hybrid role and requires in-office collaboration two times per week. This position is located in Palo Alto, CA. The Team The Engineering team at Tinder creates innovative features and robust systems that connect people worldwide. We experiment with new ways to engage our members. Despite our global scale, each engineer has a large impact due to a high member-to-engineer ratio, offering the opportunity to make a real difference. AI is a top priority at Tinder, and our Generative AI team develops 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 within a small, agile team where your contributions are felt daily. Responsibilities
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. Qualifications
PhD in machine learning, computer science, statistics, or another highly quantitative field. In-depth research and experience with LLM and multimodal Generative AI models. Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Proficiency in Python, Java, Scala, or similar programming languages. Compensation
$135,000 - $165,000 a year. The salary range for this position reflects factors such as scope and responsibilities, candidate experience, education, skills, internal equity, market, and geographic considerations. This range is based in Palo Alto, CA and may be adjusted if work authorization is granted for other locations. Commitment to Inclusion
At Tinder, we celebrate diversity and strive to build a workplace that reflects our members. We encourage applicants with varied backgrounds and experiences to apply. Tinder is an equal opportunity employer welcoming people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more at lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview, please speak to your Talent Acquisition Partner directly.
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Our Mission Tinder launched in 2012 and has grown to connect people across the globe, with millions of users and interactions that reflect real connection. The company won multiple awards, including Effie Awards for its global brand campaign. Our Values One Team, One Dream
– We work collaboratively across functions, teams, and time zones to achieve our vision. Own It
– We take accountability and strive for excellence through ownership and innovation. Never Stop Learning
– We foster a culture that embraces risk, feedback, and continuous improvement. Spark Solutions
– We focus on moving forward, staying agile to overcome obstacles. Embrace Our Differences
– We build a diverse workplace to better serve our members and our team. Where you’ll work This is a hybrid role and requires in-office collaboration two times per week. This position is located in Palo Alto, CA. The Team The Engineering team at Tinder creates innovative features and robust systems that connect people worldwide. We experiment with new ways to engage our members. Despite our global scale, each engineer has a large impact due to a high member-to-engineer ratio, offering the opportunity to make a real difference. AI is a top priority at Tinder, and our Generative AI team develops 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 within a small, agile team where your contributions are felt daily. Responsibilities
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. Qualifications
PhD in machine learning, computer science, statistics, or another highly quantitative field. In-depth research and experience with LLM and multimodal Generative AI models. Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Proficiency in Python, Java, Scala, or similar programming languages. Compensation
$135,000 - $165,000 a year. The salary range for this position reflects factors such as scope and responsibilities, candidate experience, education, skills, internal equity, market, and geographic considerations. This range is based in Palo Alto, CA and may be adjusted if work authorization is granted for other locations. Commitment to Inclusion
At Tinder, we celebrate diversity and strive to build a workplace that reflects our members. We encourage applicants with varied backgrounds and experiences to apply. Tinder is an equal opportunity employer welcoming people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more at lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview, please speak to your Talent Acquisition Partner directly.
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