About the role
Phantm is hiring Remote ML Interns to work on cutting-edge machine learning and LLM systems. Interns will design, implement, and evaluate ML models, experiment with LLM configurations, build data pipelines, analyze performance metrics, and contribute to AI-powered product development. 📩 **How to Apply:** Apply through the official careers page.
Responsibilities
- Design, implement, and evaluate machine learning models
- Experiment with different LLM configurations
- Build and maintain ML data pipelines
- Analyze model performance and optimization metrics
- Contribute to internal ML monitoring tools
- Research recent ML and LLM advancements for product improvements
Requirements
- 2025/2026/2027/2028 batch
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, or related field
- Strong foundation in Machine Learning and Statistics
- Experience with Python and ML frameworks like PyTorch, TensorFlow, or Scikit-learn
- Understanding of LLMs, NLP concepts, and Prompt Engineering
- Knowledge of model training, evaluation, and optimization
Benefits
- $60/hour compensation
- Fully remote internship
- Hands-on experience with production AI systems
- Work on Large Language Models and NLP
- Exposure to modern ML infrastructure and workflows
- Opportunity to contribute to real-world AI products
Required Skills
Frequently Asked Questions
What is the salary for ML Intern?
The listed salary for ML Intern at Phantm is $60/hour.
Where is this ML Intern role located?
This position is based in Remote (Remote).
What experience is required for ML Intern?
Candidates are expected to have Freshers of experience for this role.
How do I apply for ML Intern at Phantm?
Apply directly through the application link on this HireDoor job page for ML Intern at Phantm.
What are the key benefits for ML Intern?
Key benefits include: $60/hour compensation; Fully remote internship; Hands-on experience with production AI systems; Work on Large Language Models and NLP; Exposure to modern ML infrastructure and workflows; Opportunity to contribute to real-world AI products.