What are the responsibilities and job description for the Machine Learning Intern position at AGI Labs Inc.?
Internship – Summer Machine Learning (ML) Engineer Intern
Interested candidates should submit their resumes and cover letters to bufan.shen-i@agi-online.com.
Company: AGI Labs Inc.
Location: Bellevue, WA (Hybrid/Remote options available)
Duration: June 25 – September 25 (Flexible)
Commitment: Minimum 40 hours/week
Compensation: $25 – $60/hour, depending on skills and experience (negotiable)
About AGI Labs Inc.
AGI Labs Inc. is a leading innovator in artificial intelligence based in Bellevue, WA. We focus on cutting-edge AI and machine learning technologies, particularly in Large Language Models (LLMs), deep learning, and AI-driven applications. Our internship program offers college students hands-on experience with real-world ML challenges.
Position Overview
We are looking for highly motivated Machine Learning Engineer Interns for the summer to join our dynamic team. Interns will gain hands-on experience working with state-of-the-art ML models, collaborating with industry experts, and developing AI solutions for real-world applications.
Key Responsibilities
- Develop and Optimize ML Models – Work on training, fine-tuning, and deploying machine learning models for various AI applications.
- Work with Large Datasets – Preprocess, clean, and analyze large datasets for model training and evaluation.
- Collaborate with AI Engineers – Assist in implementing and improving machine learning pipelines.
- Experiment with Advanced ML Techniques – Explore deep learning, reinforcement learning, and generative AI approaches.
- Deploy and Monitor Models – Help integrate ML models into production environments and monitor performance.
- Engage in Agile Development – Participate in sprint planning, daily stand-ups, and code reviews in an agile team environment.
Qualifications
- GPA: 3.5 or higher
- Educational Requirements:
- Currently enrolled in a Master’s or Ph.D. program in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or a related technical field.
- Advanced-degree students expecting to graduate between October 2025 and December 2027 are encouraged to apply.
- Strong knowledge of machine learning algorithms, data structures, and statistical modeling.
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Experience with NLP, computer vision, or deep learning techniques is a plus.
- Strong problem-solving skills with the ability to work independently and in a team.
What You Will Gain
- Hands-On Experience – Work on real-world ML applications with cutting-edge AI technologies.
- Mentorship – Learn from senior ML engineers and AI researchers.
- Impactful Projects – Contribute to AI-driven solutions addressing industry challenges.
- Learning Environment – Gain expertise in ML model development, optimization, and deployment.
Important Notes
- Strong self-learning skills are required.
- Rolling decisions – Apply early!
Salary : $25 - $60
