Senior Staff Machine Learning Engineer

What you'll do

• Define and drive the technical strategy and roadmap for the Personalization Platform.
• Develop and maintain a scalable rules engine for business-driven personalization and real-time decisioning.
• Design and maintain robust ML infrastructure and pipelines for feature extraction, training, and deployment.
• Architect low-latency, event-driven systems for real-time personalization based on streaming data.
• Drive MLOps evolution by building automated deployment workflows, testing systems, and monitoring tools.
• Implement state-of-the-art LLM optimization techniques to improve production system performance and cost.
• Provide technical leadership to influence architecture, engineering standards, and cross-team strategies.

What we're looking for

• At least 10 years of experience designing and building data-intensive solutions using distributed computing.
• At least 7 years of experience programming in C, C++, Python, or Scala.
• At least 4 years of experience with the full ML development lifecycle using modern technology in a business-critical setting.
• 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure) (preferred).
• Master's or PhD in Computer Science or a relevant technical field (preferred).
• 5+ years of proven expertise in designing, implementing, and scaling personalization platforms and recommendation systems (preferred).
• 5+ years of proficiency in Python, Java, C++, or Golang and hands-on experience with ML frameworks and orchestration tools (preferred).
• Bachelor’s degree.