Position: Senior Machine Learning Engineer, Recommendations (Experience) — based in the United States. The partner company is seeking a Senior Machine Learning Engineer to build intelligent, ML-powered experiences that improve personalization and user engagement at scale. The role focuses on developing recommendation systems that connect millions of users with relevant content through advanced machine learning technologies. You will work across the entire ML lifecycle, from data pipelines and feature engineering to model deployment and real-time serving. The position combines strong software engineering practices with ML expertise to create reliable, impactful products. You will collaborate closely with Product, Design, Engineering, and Platform teams to transform user needs into innovative solutions. This is an opportunity to influence the future of personalized experiences while working with large-scale data, AI systems, and modern cloud technologies.

Accountabilities: The Senior Machine Learning Engineer will be responsible for designing, building, and scaling machine learning systems that deliver personalized experiences to users. The role requires ownership of end-to-end ML solutions, strong engineering execution, and collaboration across multiple teams. Key responsibilities include: developing, testing, deploying, and maintaining machine learning and LLM-based systems serving real-world users; designing and implementing complete ML pipelines covering data processing, feature engineering, model training, deployment, and monitoring; building scalable solutions capable

Position: Senior Machine Learning Engineer, Recommendations (Experience) — based in the United States. The partner company is seeking a Senior Machine Learning Engineer to build intelligent, ML-powered experiences that improve personalization and user engagement at scale. The role focuses on developing recommendation systems that connect millions of users with relevant content through advanced machine learning technologies. You will work across the entire ML lifecycle, from data pipelines and feature engineering to model deployment and real-time serving. The position combines strong software engineering practices with ML expertise to create reliable, impactful products. You will collaborate closely with Product, Design, Engineering, and Platform teams to transform user needs into innovative solutions. This is an opportunity to influence the future of personalized experiences while working with large-scale data, AI systems, and modern cloud technologies.

Accountabilities: The Senior Machine Learning Engineer will be responsible for designing, building, and scaling machine learning systems that deliver personalized experiences to users. The role requires ownership of end-to-end ML solutions, strong engineering execution, and collaboration across multiple teams. Key responsibilities include: developing, testing, deploying, and maintaining machine learning and LLM-based systems serving real-world users; designing and implementing complete ML pipelines covering data processing, feature engineering, model training, deployment, and monitoring; building scalable solutions capable