Co-op – AI / Machine Learning Engineering at Wasabi… · Remote

Summary: Wasabi Technologies is a fast-growing company in the Cloud Storage industry, recognized as one of the best places to work in Boston. They are seeking a motivated AI/ML Co-op student to gain hands-on experience building and supporting machine learning pipelines and AI services in a cloud-first environment. Responsibilities: - Assist in building and maintaining ML pipelines, including data preparation, feature engineering, model training, and deployment - Support model packaging and API integration using tools such as Python, Docker, and ML frameworks (PyTorch, TensorFlow, or scikit-learn) - Help monitor model performance, latency, and data drift, and contribute to testing and validation workflows - Participate in CI/CD processes, code review, and documentation to ensure reliable and maintainable AI services - Collaborate with engineers, data scientists, and product teams to translate business requirements into scalable ML solutions Required Qualifications: - Currently pursuing a Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field - Working knowledge of Python - Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn through coursework, research, or personal projects - Interest in learning how to deploy and monitor ML models in real-world environments - Strong problem-solving skills and the ability to communicate and collaborate in a team setting - The co-op must be enrolled in classes in the United States and must live in the United States Preferred Qualifications: - Exposure to C++, Rust, or Go is a plus but not required - Exposure to tools like Git, Docker, or cloud platforms (AWS, GCP, or Azure) is helpful but not required Required Skills: Python, Machine learning frameworks, PyTorch, TensorFlow, scikit-learn, Machine learning pipelines, Feature engineering, Model training, Model deployment, API integration, Docker, Git, Cloud platforms Benefits: Bonus or variable compensation, Equity, A comprehensive benefits package designed to support both professional growth and personal well-being