Get Hired
Job Description
Join Tinder's Trust & Safety team as a Senior Software Engineer, Machine Learning, to build and scale advanced ML systems for keeping users safe and authentic on the world's largest dating platform. You'll work with cutting-edge AI technologies (Generative AI, CV, NLP) at massive scale.
Key Information
- Location Model: Hybrid
- Location Details: Palo Alto, CA (in-office collaboration twice per week)
- Salary Range: $150,000 - $190,000 USD per year
- Years Experience Min: 1+ years (Note: Listing suggests Senior level role but minimum experience is low; interpret as requiring significant relevant ML experience regardless of tenure)
- Employment Type: Full-time
- Company Industry: Social Discovery / Dating App (Consumer Tech)
- Visa Sponsorship: N/A
- Relocation Assistance: N/A
- Working Hours: N/A
Technical Stack
- Core (Must-Have):
- Machine Learning (applying state-of-the-art techniques)
- Deep Learning Frameworks (PyTorch, TensorFlow, Keras)
- Programming Languages (Python, Java, Scala)
- Nice-to-Have:
- Generative AI
- Computer Vision (CV)
- Natural Language Processing (NLP)
- Big Data experience
Role & Responsibilities
- Key Responsibilities: (What you'll DO)
- Create modeling efforts for Trust and Safety experiences.
- Apply state-of-the-art machine learning techniques.
- Research and develop novel algorithms and models.
- Work with big data to improve model accuracy.
- Collaborate with other engineers and product managers to integrate ML models.
- Must-Have Qualifications: (What you NEED)
- 1+ years of hands-on experience in machine learning with impactful solutions.
- PhD or MS in ML, CS, Statistics, or a quantitative field.
- Proficiency in deep learning frameworks (PyTorch, TensorFlow, Keras).
- Proficiency in Python, Java, Scala, or similar languages.
- Nice-to-Have Qualifications: (What's a BONUS)
- Experience applying Generative AI, CV, NLP.
- Experience working with large datasets.
Company & Culture
- Benefits Highlights:
- N/A
- Potential Red Flags / Things to Note:
- Minimal stated years of experience for a "Senior" title.
- Specific benefits not detailed in the job posting.
- Company Culture Snippets: (Optional: Add if distinct culture points are mentioned)
- Emphasis on collaboration and teamwork ("One Team, One Dream").
- Culture of ownership and accountability ("Own It").
- Focus on continuous learning and taking risks ("Never Stop Learning").
- Problem-solving oriented ("Spark Solutions").
- Commitment to diversity and inclusion ("Embrace Our Differences").
Our MissionLaunched 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 ValuesOne 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 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 Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.About The RoleAs a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll 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. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.Where You'll WorkThis is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA
Our Mission
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
Our Values
One Team, One Dream
*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
*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
*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
*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
*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 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 Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.
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 Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.
About The Role
About The Role
As a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll 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. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.
As a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll 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. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.
Where You'll Work
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
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: Create the modeling efforts of Tinder’s Trust and Safety experiences.Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc. Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies.Work with big data to improve the accuracy and relevance of models.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.
In this role, you will: Create the modeling efforts of Tinder’s Trust and Safety experiences.Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc. Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies.Work with big data to improve the accuracy and relevance of models.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.
IN THIS ROLE, YOU WILL:
- Create the modeling efforts of Tinder’s Trust and Safety experiences.
- Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc.
- Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies.
- Work with big data to improve the accuracy and relevance of models.
- 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.
You'll need: 1+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scalePhD or MS in machine learning, computer science, statistics, or another highly quantitative field.Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.
You'll need: 1+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scalePhD or MS in machine learning, computer science, statistics, or another highly quantitative field.Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.
YOU'LL NEED:
- 1+ 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.
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.
$150,000 - $190,000 a yearThe salary range for this position is $150,000 - $190000. 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, CA. 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.
$150,000 - $190,000 a year
The salary range for this position is $150,000 - $190000. 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, CA. 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 InclusionAt 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/deiIf 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
Commitment to Inclusion
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
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.
*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
*#Tinder*
Palo Alto, CaliforniaTinder – Engineering /Full-time /Hybrid
Our Mission
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
Our Values
One Team, One Dream
*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
*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
*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
*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
*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 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 Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.
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 Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people.
About The Role
About The Role
As a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll 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. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.
As a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll 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. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology.
Where You'll Work
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
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: Create the modeling efforts of Tinder’s Trust and Safety experiences.Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc. Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies.Work with big data to improve the accuracy and relevance of models.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.
In this role, you will: Create the modeling efforts of Tinder’s Trust and Safety experiences.Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc. Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies.Work with big data to improve the accuracy and relevance of models.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.
IN THIS ROLE, YOU WILL:
- Create the modeling efforts of Tinder’s Trust and Safety experiences.
- Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc.
- Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies.
- Work with big data to improve the accuracy and relevance of models.
- 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.
You'll need: 1+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scalePhD or MS in machine learning, computer science, statistics, or another highly quantitative field.Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.
You'll need: 1+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scalePhD or MS in machine learning, computer science, statistics, or another highly quantitative field.Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.
YOU'LL NEED:
- 1+ 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.
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages.
$150,000 - $190,000 a yearThe salary range for this position is $150,000 - $190000. 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, CA. 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.
$150,000 - $190,000 a year
The salary range for this position is $150,000 - $190000. 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, CA. 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 InclusionAt 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/deiIf 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
Commitment to Inclusion
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
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.
*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
*#Tinder*
Palo Alto, CaliforniaTinder – Engineering /Full-time /Hybrid
Job Details
Salary
$150,000 - $190,000 a year
Location
Remote / Palo Alto, USA
Key Skills
PythonJavaScalaMachine LearningGenerative AiDeep LearningComputer Vision (cv)Natural Language Processing (nlp)