Software Engineer III, Machine Learning Trust and Safety
About the position
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. As a Software Engineer focused on Machine Learning 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. You'll design, implement, and scale systems that influence millions of users worldwide. You will work on 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.
Responsibilities
• Work on modeling efforts of Tinder's Trust and Safety experiences.
• Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc.
• Help 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 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.
Requirements
• 2+ 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.
• Hands-on experience in one or more of the following - Computer Vision, NLP, Generative AI preferably in the safety domain.
• In-depth knowledge of deep neural networks.
• Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.
• Proficiency in Python, Java, Scala, or similar programming languages.
Apply Now
Apply Now
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. As a Software Engineer focused on Machine Learning 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. You'll design, implement, and scale systems that influence millions of users worldwide. You will work on 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.
Responsibilities
• Work on modeling efforts of Tinder's Trust and Safety experiences.
• Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc.
• Help 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 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.
Requirements
• 2+ 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.
• Hands-on experience in one or more of the following - Computer Vision, NLP, Generative AI preferably in the safety domain.
• In-depth knowledge of deep neural networks.
• Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.
• Proficiency in Python, Java, Scala, or similar programming languages.
Apply Now
Apply Now