ML Growth Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DeweyLearn, Inc.

WebsiteLinkedInAll Job Openings

1 - 10 employees

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

Education • Artificial Intelligence • SaaS

DeweyLearn, Inc. is an AI-powered teaching assistant and analytics platform that uses multimodal data (text, voice, interaction and classroom sensor inputs) to deliver real-time insights on student engagement, collaboration, and cognitive complexity. It helps K–12 schools, higher education, tutoring providers, and corporate trainers identify learning gaps, monitor group dynamics, and receive actionable recommendations via a chatbot interface, while emphasizing teacher-centered support, data privacy, and regulatory compliance.

📋 Description

• Develop scalable Python services and production-grade APIs • Design, implement, and improve AI features using LLMs and modern ML techniques • Build specialized edge models • Create unique labeling strategies and coach labeling of data to support model building • Take AI systems from concept and prototype to reliable, observable production deployments • Collaborate closely with product, founders, and stakeholders to shape product direction • Continuously improve system architecture, data pipelines, and ML/AI infrastructure

🎯 Requirements

• Curious technologist who enjoys understanding how things work and exploring new tools, approaches, and ideas • Fast self-learner who enjoys dialog • Strong software engineering fundamentals and ability to build reliable, maintainable, and extensible systems • Experience taking ownership of defining problems, shipping solutions, measuring results, and iterating • Strong communication and stakeholder collaboration skills • Enjoys collaborating and mentoring • Proven track record as a Python developer and ML engineer • At least 7 years of professional software engineering experience • Experience working with ML/AI systems in a production environment • Native/fluent proficiency in English • Expert command of Python and its ecosystem • Expert command of key ML modeling frameworks and creation of specialized ML models • Deep understanding of YOLO; previous use is a plus • Strong background in Data Science • Extensive experience with Large Language Models • Proven expertise in Docker containerization and CI/CD pipelines • Early-stage startup experience is a plus

🏖️ Benefits

• Flexible remote work arrangement (Europe and the Americas only) • Collaborative, innovation-focused environment • Opportunity to shape the future of education