ML Growth Engineer

DeweyLearn, Inc.

ML Growth Engineer focusing on scalable Python services and AI features at DeweyLearn. Join a mission-driven team dedicated to revolutionizing education technology.

Posted 7/17/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing scalable Python services and production-grade APIs, with a strong focus on AI features using modern ML techniques and Large Language Models. Proven ability to collaborate with stakeholders and mentor team members while continuously improving system architecture and ML/AI infrastructure.

Highest-signal resume keywords

Python DevelopmentMachine Learning EngineeringLarge Language ModelsDocker ContainerizationData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningAI SystemsData PipelinesML Modeling FrameworksSpecialized ML ModelsYOLOCI/CD PipelinesProduction DeploymentsLabeling Strategies

Soft Skills

CommunicationCollaborationMentoringCuriosityOwnership

Industry Keywords

Production EnvironmentEarly-Stage StartupsSystem ArchitectureObservable SystemsStakeholder Engagement

Tech Stack

Tools & technologies

DockerPython

About the role

Key responsibilities & impact

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

What you’ll need

You’re a curious technologist at heart.
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
Experience in early-stage startups is a plus
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

Benefits

Comp & perks

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