Machine Learning Engineer - Remote Internship for Recent Graduates

About the Role

We are excited to offer a Machine Learning Engineer remote internship opportunity for recent graduates. This role is designed for STEM graduates eager to kickstart their careers in the rapidly evolving field of Artificial Intelligence. As a Machine Learning Engineer remote intern, you will gain hands-on experience while working with cutting-edge technologies and methodologies.

What You'll Do

• Build, train, and deploy machine learning models in production environments.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Implement model evaluation metrics and optimization techniques.
• Work with supervised and unsupervised learning algorithms.
• Write clean, maintainable Python code following industry best practices.
• Develop REST APIs and backend services for ML model deployment.
• Use Git for version control and collaborative development.
• Debug and optimize ML pipelines and applications.
• Work with cloud platforms (AWS, Azure, or Google Cloud Platform) for ML deployment.
• Containerize applications using Docker and implement CI/CD pipelines for automated model deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related STEM field.
• Graduated within the last 24 months (Class of 2023, 2024, or 2025).
• Strong proficiency in Python (NumPy, Pandas, Matplotlib).
• Hands-on experience with machine learning frameworks: Scikit-learn (required), TensorFlow or PyTorch.
• Basic knowledge of SQL and relational databases.
• Understanding of ML fundamentals: regression, classification, clustering, neural networks.
• Experience with Git/GitHub for version control.
• Strong problem-solving and analytical abilities.

Nice to Have

• Academic projects, capstone, or thesis involving ML/AI.
• Active GitHub profile with ML projects.
• Kaggle competition participation or portfolio.
• Exposure to cloud platforms (AWS, Azure, Google Cloud Platform).
• Interest in NLP, Computer Vision, or Generative AI.

What We Offer

• Competitive hourly rate: $25–$40/hour.
• Pro-rated health insurance (Medical, Dental, Vision).
• Paid sick leave and company holidays.
• $200/month remote work or commuter stipend.
• 1:1 Mentorship with senior ML engineers.
• $2,000+ learning budget (Coursera, Udemy, O'Reilly access).
• Weekly ML seminars and technical workshops.
• Career growth opportunities with a 70%+ full-time conversion rate for top performers.