[Remote] Software Engineering Internship
Note: The job is a remote job and is open to candidates in USA. TRACTIAN develops an integrated software ecosystem for predictive maintenance and computerized maintenance management. The Software Engineering Intern will support web and mobile application development, machine-learning pipelines, APIs, AI/ML deployment, system performance, and cross-functional product integration under mentorship.
Responsibilities
- Build & Improve Features: Contribute to building and improving components of Tractian's web and mobile applications
- Support ML Pipelines: Collaborate on machine-learning pipelines, model integration, and real-time inference systems under guidance
- Write Quality Code: Write, test, and review clean, maintainable code using modern frameworks
- Support API Development: Help develop APIs and automation tools that enhance predictive maintenance capabilities
- Troubleshoot Issues: Help troubleshoot and resolve software issues to support scalability, speed, and accuracy
- Learn the Full Cycle: Gain exposure to real-world software development cycles and learn how AI-powered features move from concept to release
- Contribute Across the Stack: Contribute to back-end and front-end feature development under mentorship
- Support Performance Work: Help optimize system performance and scalability in cloud environments
- Assist with AI/ML Deployment: Assist in deploying and validating AI/ML models within production applications
- Document Your Work: Document code, APIs, and integrations clearly for future team use
- Collaborate Cross-Functionally: Work with cross-functional teams, including hardware, firmware, and product, to support seamless interoperability
Skills
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field
- Proficiency in at least one language: Python, JavaScript, TypeScript, Go, or C++, gained through coursework or personal projects
- Exposure to web frameworks (React, Node.js, Flask, FastAPI, etc.) or back-end systems
- Genuine interest in AI, machine learning, and IoT-driven data systems
- Strong analytical, problem-solving, and collaboration skills
Benefits
- Remote work arrangement
- Hands-on experience building AI and machine-learning applications that power industrial intelligence.
- Mentorship from engineers and data scientists solving production-level challenges.
- Exposure to predictive-maintenance analytics and industrial machine learning.
- A chance to help shape the future of smart maintenance and industrial AI.
Company Overview
Company H1B Sponsorship