onsite
Machine Learning Co-Op Summer 2026
ML Engineer
Join a summer 2026 Machine Learning Co‑Op focused on building and optimizing deep‑learning models and data pipelines using Python, TensorFlow/PyTorch, and AWS cloud services.
About the role
Key Responsibilities
- Develop, train, and evaluate deep‑learning models for cloud‑based data products.
- Design and implement data pipelines to ingest, preprocess, and store large‑scale datasets.
- Collaborate with senior engineers to integrate ML models into production services on AWS.
- Perform exploratory data analysis and feature engineering to improve model performance.
- Document code, experiments, and results to ensure reproducibility and knowledge sharing.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field.
- Proficiency in Python and experience with deep‑learning frameworks such as TensorFlow or PyTorch.
- Familiarity with cloud platforms, preferably AWS (S3, EC2, SageMaker).
- Understanding of data engineering concepts, including ETL processes and working with large datasets.
- Strong analytical mindset, problem‑solving skills, and ability to work collaboratively in a fast‑paced environment.
Skills
pythontensorflowpytorchawsdeep learning