ML Growth Engineer
DeweyLearn
•Remote
About The Position
We are DeweyLearn, Inc., an Education Tech startup on a mission to revolutionize the education landscape. We’re building something extraordinary and are seeking exceptional engineers to join us on this journey. This is a unique opportunity to shape the future of education technology from the ground up.
Requirements
- You’re a curious technologist at heart. You like understanding how things work, and you enjoy exploring new tools, approaches, and ideas
- You are a fast self-learner and enjoy dialog
- You have strong software engineering fundamentals and can build reliable systems that others can understand, maintain, and extend
- You’ve worked on teams where you took ownership - you helped define the problem, shipped a solution, measured results, and iterated
- You are a good communicator and can ask the right questions, explain trade-offs in a straightforward way, and collaborate with stakeholders
- You enjoy collaborating and mentoring
- You have a proven track record as a Python developer and ML engineer, with at least 7 years of professional software engineering experience
- You have experience working with ML/AI systems in a production environment
- You have native/fluent proficiency in English
- Expert command of the Python language and its ecosystem
- Expert command of key ML modeling frameworks and the 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
Nice To Haves
- Experience in early-stage startups is a plus
Responsibilities
- 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
Benefits
- Flexible remote work arrangement (Europe and the Americas only)
- Collaborative, innovation-focused environment
- Opportunity to shape the future of education
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
