Marigold

Machine Learning Engineer

• Work across the Campaign Monitor product to identify valuable opportunities in product and customer data, and turn them into predictive features that improve customer outcomes
• Turn rich historical product and customer data into predictive features that improve customer outcomes
• Identify high-impact opportunities for applied machine learning by analyzing product, behavioral, and content data, and translating ambiguous product questions into concrete ML use cases
• Develop and deploy predictive machine learning models, including models for click-through rate, churn, recommendations, and related engagement signals
• Design and build features and training datasets from structured product data, historical behavioral data, and content-derived signals
• Own the applied ML lifecycle from data exploration and feature engineering through training, evaluation, deployment, monitoring, and iteration
• Build production services and workflows for batch and real-time inference, with a pragmatic focus on reliability, maintainability, and speed to impact
• Work hands-on in the codebase, contributing to backend systems and product workflows that consume predictions and recommendations
• Partner closely with product, design, and engineering to turn customer needs into ML-driven product capabilities with measurable business impact
• Establish pragmatic best practices for model evaluation, experimentation, monitoring, and continuous improvement
• Help shape how applied machine learning is introduced into the product, while aligning with broader engineering architecture and delivery practices
• Contribute to shared knowledge across the engineering organization to improve understanding and adoption of applied ML over time

Staff Applied ML Engineer

SEO Marketing

• Support the creation and optimization of SEO-driven content including blog posts, landing pages, and website copy
• Assist with editing and refining content to ensure clarity, consistency, and alignment with brand voice
• Analyze content performance using tools such as Google Analytics or SEO platforms and summarize key insights
• Contribute to content audits and recommend updates to improve search rankings and user engagement
• Collaborate with marketing, product, and creative teams to align content with campaigns and business priorities
• Participate in planning sessions and content reviews to gain exposure to content strategy and execution

Staff Applied ML Engineer

SEO Content Intern