Machine Learning Engineer

Overview

We are seeking a Machine Learning Engineer Intern to join our team and contribute to the development, training, and evaluation of machine learning models. This is a hands-on opportunity to work with real-world datasets and modern machine learning technologies while gaining practical experience in building and improving AI systems.

Responsibilities

* Develop, train, and evaluate machine learning models.

* Prepare, clean, and preprocess datasets for model development.

* Perform feature engineering and data analysis.

* Design and run experiments to improve model performance.

* Evaluate models using appropriate metrics and validation methods.

* Assist with model optimization and deployment.

* Research and experiment with new machine learning techniques and architectures.

* Debug and troubleshoot machine learning pipelines and model performance issues.

* Collaborate with engineers, data scientists, and researchers on AI projects.

* Document experiments, methodologies, and results.

Qualifications

* Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Engineering, or a related field.

* Strong programming skills in Python.

* Understanding of fundamental machine learning concepts and algorithms.

* Familiarity with NumPy, Pandas, and Scikit-learn.

* Strong analytical and problem-solving skills.

* Ability to work independently and collaborate effectively with a technical team.

Preferred Qualifications

* Experience with PyTorch, TensorFlow, or JAX.

* Familiarity with deep learning and neural networks.

* Experience with LLMs, transformers, or generative AI.

* Familiarity with model fine-tuning and evaluation.

* Experience working with large datasets or GPU-based computing.

* Knowledge of SQL, Git, Docker, or cloud platforms such as AWS, GCP, or Azure.

* Previous machine learning research, internship, or personal project experience is a plus.

Position: Machine Learning Engineer Intern

Employment Type: Internship

Location: Silicon Valley / Hybrid