
Education • SaaS
Treering is a web-based yearbook platform and printing service that helps schools design, personalize, sell, and distribute yearbooks. The company provides an easy-to-use online editor with professionally designed templates, support for portraits and social/photo imports, personalized two-page inserts per student, e-signing features, sales and shipping management, and customer support. Treering offers flexible, no-contract ordering and prints high-quality, sustainably sourced books for K–12 schools and organizations.
September 17
🏄 California – Remote
💵 $180k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer

Education • SaaS
Treering is a web-based yearbook platform and printing service that helps schools design, personalize, sell, and distribute yearbooks. The company provides an easy-to-use online editor with professionally designed templates, support for portraits and social/photo imports, personalized two-page inserts per student, e-signing features, sales and shipping management, and customer support. Treering offers flexible, no-contract ordering and prints high-quality, sustainably sourced books for K–12 schools and organizations.
• Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking • Develop and enhance AI models and algorithms to improve automated product generation accuracy and efficiency • Oversee and manage the suite of APIs used in AI solutions • Utilize and manage AWS services (Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, RDS) • Design, implement, and manage state machines for orchestrating AI processes • Write and maintain Python code for AI models and API development • Monitor AI system performance, troubleshoot issues, and implement solutions • Collaborate with cross-functional teams to integrate AI solutions into the overall product workflow
• Bachelor’s or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field • 6+ years of experience in AI development and deployment • Strong proficiency in Python programming • Extensive experience with AWS services, including: Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, RDS • Experience with API development and management • Solid understanding of machine learning algorithms and in techniques • Excellent problem-solving and analytical skills • Strong communication and collaboration skills • Strong leadership and mentoring abilities
• Comprehensive medical, dental, vision, life/AD&AD, and disability coverage • Pre-tax savings/spending plans, including HSA employer contributions • Parental Leave Benefits • Pre-tax and Roth 401(k) plan with an employer contribution • Flexible vacation for salaried • Twelve paid holidays throughout the year
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