Software Engineer, Tinder

• This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment
• BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field
• 1+ year of industry experience in machine learning, software engineering, data science, or a related field
• Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
• Experience building ML or AI-related systems, or strong understanding of how modern machine learning systems are developed and operated
• Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language
• Strong understanding of machine learning fundamentals, including model training, evaluation, and experimentation
• Strong communication skills and the ability to collaborate effectively across functions
• Self-motivated, proactive, and comfortable taking ownership of well-scoped problems

Desirable

• The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization
• Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem
• ML at Tinder is organized into three groups with distinct roles:
• Machine Learning Engineers who focus on modeling and algorithmic innovation (this role)
• Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management
• Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale
• We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact
• This is an individual contributor role focused on modeling and algorithmic innovation
• You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production
• The team’s work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale
• Translate product and business problems into clear machine learning problems with measurable success criteria
• Build, train, evaluate, and improve production machine learning models
• Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production
• Design and analyze offline evaluations and online experiments to understand model impact
• Contribute to feature engineering, data preparation, training pipelines, and model monitoring
• Write clean, maintainable, production-quality code and participate in design and code reviews
• Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners