Scalable Path: Machine Learning Engineer for Agentic AI

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Overview

Scalable Path is seeking a Machine Learning Engineer for Agentic AI, with the aim of improving their existing educational web application. This application, which helps young students learn French as a second language, is expanding into the private sector. The role involves enhancing the application's quality and performance through creating automated tests, implementing logging, and refining the development team’s practices.

Job Challenges

The main challenge faced by the company is ensuring that their Unity 3D WebGL application operates reliably on both Android and iOS platforms. Despite its successful performance on desktop, the application is struggling with issues like stabilizing a third-party whiteboard feature and ensuring consistent functionality in modern browsers on various devices. To address these challenges, they are looking for someone skilled in front-end and back-end technologies.

Necessary Technologies

The application is built with Spring Boot for the back-end and React for the front-end. Furthermore, the role requires familiarity with OpenVidu and WebRTC technologies, although a strong React developer with experience in state management and real-time applications is the core requirement.
Candidates with experience in the back-end technologies mentioned will have an advantage, but proficiency in React is—ultimately—what is most sought after.

Responsibilities

As a Machine Learning Engineer, your duties will include:

• Attending daily scrum meetings.
• Consulting with management for operational requirements.
• Building new features in the front-end and back-end.
• Debugging and addressing issues within the existing application.
• Refactoring, optimizing, and simplifying code to enhance performance and readability.
• Decomposing systems into smaller, modular components to boost scalability and flexibility.
• Writing automated tests to ensure code quality.
• Implementing bug and performance monitoring systems.
• Mentoring junior developers and conducting code reviews.
• Encouraging the implementation of best practices within the development team.

Team Collaboration

In this role, you will have the opportunity to work closely with key members of the organization, including the CTO, Engineering Manager, two Web Developers, three Unity3D Developers, and a DevOps Engineer. This collaborative environment will allow you to share knowledge and best practices, enhancing both your growth and the development team's output. Daily meetings are scheduled at 9:00 am America/Toronto (-04:00) EDT to ensure seamless communication within the team.

Job Requirements

Applicants should possess the following skills:

• Fluency in English (mandatory).
• Python proficiency (mandatory).
• Proficient in Machine Learning (mandatory).
• Experience with TensorFlow (strongly preferred).
• Knowledge of Vector Databases (mandatory).
• Familiarity with Google Cloud (a plus).
• Experience with PyTorch (strongly preferred).
• Familiarity with JAX (strongly preferred).

Work Schedule and Duration

The expected start date for this position is as soon as possible, with an anticipated contract duration of 12+ months. While the company prefers candidates to be located in Canada, Latin America, or the United States, the role allows for remote work, making it a suitable opportunity for individuals seeking flexible employment options.

Conclusion

The position not only offers a chance to work in a dynamic environment with advanced technologies but also allows you to mentor junior developers and influence the development process significantly. If you’re an experienced React developer passionate about educational technologies and machine learning, this opportunity at Scalable Path could be the next significant step in your career.

Application Process

Interested candidates should prepare their application materials and apply at the designated link provided in the job announcement.

This job offer was originally published on weworkremotely.com