ML Engineering Intern
Internship Position
Work on production machine learning systems and implement cutting-edge algorithms in real-world applications. This internship offers hands-on experience in building scalable ML pipelines, deploying models, and optimizing performance for production environments.
Quick Facts
What You'll Do
ML Pipeline Development
Build end-to-end machine learning pipelines for data processing, training, and deployment
Model Deployment
Deploy machine learning models to production environments and monitor their performance
Performance Optimization
Optimize model performance, reduce latency, and improve scalability for production use
Code Development
Write clean, maintainable code and contribute to our ML engineering codebase
What We're Looking For
Required Qualifications
- Currently enrolled in CS, AI, or related technical program
- Strong programming skills in Python
- Experience with ML frameworks (TensorFlow, PyTorch)
- Understanding of machine learning fundamentals
Preferred Qualifications
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of MLOps and model deployment
- Experience with Docker and containerization
- Familiarity with data processing tools (Pandas, Spark)
What You'll Gain
This internship offers practical experience in ML engineering and exposure to production systems.
Production Experience
Work with real production systems, learn MLOps practices, and understand how ML models are deployed and maintained at scale.
Team Collaboration
Work closely with experienced ML engineers and learn best practices for collaborative software development in ML teams.
Technical Skills
Develop expertise in ML frameworks, cloud platforms, and engineering tools used in modern ML production environments.
Application Process
Ready to apply? Here's what you need to know about our application process.
Submit Application
Submit your CV, coding portfolio, and cover letter through our online portal
Technical Review
Our engineering team reviews applications and coding portfolios
Technical Interview
Coding interview focusing on ML concepts and engineering practices
Team Integration
Welcome to the team! Get oriented with our engineering culture and start your internship