Machine Learning Engineer – Match Group AI

Job Description

As a Machine Learning Engineer within Match Group AI, you will play a pivotal role in designing and deploying advanced machine learning models that power personalized experiences across the company’s global platforms. This role offers the unique opportunity to apply cutting-edge techniques in natural language processing, recommendation systems, and predictive analytics to improve user engagement, trust, and safety. You will collaborate with cross-functional teams including data scientists, product managers, and engineers to bring innovative AI solutions from research to production. The position is well-suited for individuals who are passionate about building scalable, real-world AI systems that directly impact millions of users worldwide.

Role Description

In this position, you will design, develop, and optimize machine learning pipelines that support a variety of Match Group products. Responsibilities include data collection, feature engineering, model training, validation, deployment, and ongoing performance monitoring. You will work on problems such as personalized recommendations, user behavior prediction, fraud detection, and content moderation, ensuring that models are accurate, ethical, and aligned with business goals.

You will also collaborate closely with infrastructure teams to optimize ML systems for scalability, latency, and efficiency, ensuring seamless integration into large-scale platforms. This involves leveraging cloud-based environments, distributed systems, and MLOps practices to automate workflows and monitor deployed models. A key part of the role is staying up to date with the latest advancements in AI research and translating those insights into practical applications that enhance user experience.

Beyond technical contributions, you will participate in discussions around ethical AI practices, fairness, and transparency, helping Match Group continue to set industry standards in responsible AI deployment. Your work will not only improve individual products but also contribute to the development of shared machine learning frameworks and reusable tools that benefit the entire organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field; PhD is advantageous.
• Proven experience developing and deploying machine learning models in production environments.
• Proficiency in programming languages such as Python, Java, or C++, with expertise in ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Experience with large-scale data pipelines and tools (Spark, Hadoop, or equivalent).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Understanding of MLOps, CI/CD, and model lifecycle management.
• Strong problem-solving skills, analytical mindset, and attention to detail.
• Excellent communication skills and ability to work in cross-functional, collaborative environments.
• This role is designed for innovative engineers who thrive at the intersection of AI research and large-scale product development, offering the chance to build solutions that meaningfully shape digital interactions across Match Group’s global platforms.