About the role
TL;DR
Operationalize complex ML models into scalable features for global dating brands.
- •The Match Group AI team is seeking a Machine Learning Software Engineer to bridge cutting-edge AI research with excellent software engineering.
- •You will operationalize complex ML models into robust, scalable features for global brands like Tinder and Hinge.
- •Key Responsibilities Operationalize complex ML models into robust, scalable features.
- •Design and develop backend services and distributed systems for ML model consumption.
- •Build ML serving pipelines for real-time and batch model outputs.
- •Deploy and optimize Large Language Models (LLMs) for practical use cases.
- •Collaborate with engineering counterparts across global offices.
- •Requirements 2+ years of experience in software engineering (Backend, ML, or Data Engineering).
- •Strong understanding of CS Fundamentals and distributed system design.
- •Proficiency in at least one modern programming language (e.g., Python, Go, Java).
- •Interest in ML model deployment and real-world engineering challenges.
- •Proficiency in leveraging AI-powered tools.
- •Professional working proficiency in English and fluent in Korean.
Required skills
PythonGoJavaKotlinC#LLMsDockerKubernetesCI/CDGitLinuxREST API
Nice-to-have skills
TensorFlowPyTorchscikit-learnKerasOpenAI APIAnthropic APILangChainHugging FaceComputer VisionNLP
Domain expertise
ai
Tech stack
PythonGoJavaKotlinC#LLMsTensorFlowPyTorchscikit-learnKerasOpenAI APIAnthropic APILangChainHugging FaceComputer VisionNLPMLflowKubeflowSageMakerVertex AISparkAWSGoogle CloudAzureDockerKubernetesCI/CDGitLinuxJira