Paper
Education
Paper is an educational technology company that provides personalized, high-impact tutoring services and academic support for K-12 students, educators, and families. Their offerings include 24/7 tutoring, interactive learning tools, and resources for college and career readiness. The company aims to drive student engagement and future readiness by working closely with administrators and teachers to support and empower students. Paper serves approximately 3 million learners nationwide, providing equitable and cost-effective solutions to educational challenges.
Senior Manager, AI
Job not on LinkedIn
August 14
Paper
Education
Paper is an educational technology company that provides personalized, high-impact tutoring services and academic support for K-12 students, educators, and families. Their offerings include 24/7 tutoring, interactive learning tools, and resources for college and career readiness. The company aims to drive student engagement and future readiness by working closely with administrators and teachers to support and empower students. Paper serves approximately 3 million learners nationwide, providing equitable and cost-effective solutions to educational challenges.
📋 Description
• We are seeking an experienced Machine Learning Manager to lead a team of ML engineers and data scientists. This team is responsible for developing and operationalizing AI solutions (trained and prompt-based) that power critical product features across our platform. • As Senior Manager, you will drive project execution, own delivery for AI/ML initiatives, and mentor a group of engineers and ML specialists. • You’ll closely partner with Product, Data, and Engineering teams to ship effective, scalable, and ethical AI solutions for millions of learners and educators. • Technical Leadership: Oversee the design, implementation, and deployment of AI-powered features, including model training and prompt-based frameworks (e.g., leveraging LLMs). Guide best practices for AI development, MLOps, and system integration. • Team Management: Grow, mentor, and manage a talented team of ML engineers and data scientists. Foster a collaborative, inclusive, and high-performance work environment. • Project & Stakeholder Management: Ensure timely and rigorous delivery of AI initiatives. Work with Product and Engineering leads to define requirements, plan roadmaps, estimate effort, and prioritize work. • Innovation & Quality: Encourage experimentation, rapid prototyping, and continuous improvement. Ensure robust evaluation and monitoring of AI solutions. • Scale & Reliability: Partner with DevOps and Developers to build scalable, reliable, and cost-efficient AI services. • Ethics & Compliance: Champion best practices for responsible AI (privacy, fairness, safety). Stay abreast of regulatory requirements and lead compliance efforts for AI solutions.
🎯 Requirements
• Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or related field; 7+ years of experience building production-grade AI/ML solutions, with 3+ years in a formal team leadership or management role. • Demonstrated success delivering trained (supervised, unsupervised, etc.), prompt-based (LLM-powered, few-shot, etc.), and multi-modal AI systems. • Demonstrated expertise in model evaluation—designing and implementing both manual review protocols and automated test suites. • Technical Skills: Hands-on expertise in Python and common AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, etc.). • Deep understanding of end-to-end ML lifecycle: data ingestion, model training, evaluation, deployment, and monitoring. • Experience operationalizing LLMs and integrating prompt engineering workflows. • Proven experience designing, training, and deploying multi-modal models leveraging diverse data sources (text, image, audio, video). • Leadership: Excellent mentorship, communication, and stakeholder management skills. • Proven ability to lead with empathy, clarity, and accountability. • Delivery: Track record of managing cross-functional projects from ideation to production. • Ability to align technical vision with business impact in a fast-paced environment. • Preferred: Experience in EdTech or education-related domains. • Familiarity with regulatory and ethical considerations in ML model evaluation.
🏖️ Benefits
• Competitive salary, benefits, equity, retirement plan, and more • Monthly stipend to support the growth of your home office • Unlimited access to tutoring and educational support for children of Paper employees
Apply Now