Co-op Researcher – Agentic AI

Job summary

The researcher will develop data-efficient AI agents, conduct large-scale deep learning training runs, and design experiments to evaluate new ideas. They will also collaborate with a team to write academic papers and technical reports while staying current with ML publications.

Job details

The researcher will develop data-efficient AI agents, conduct large-scale deep learning training runs, and design experiments to evaluate new ideas. They will also collaborate with a team to write academic papers and technical reports while staying current with ML publications. Candidates must be currently enrolled in a Bachelor’s or Master’s program in Computer Science or a related technical field. Strong coding skills in Python and Pytorch, along with a solid understanding of machine learning principles and deep learning architectures, are required.

What you’ll do

The researcher will develop data-efficient AI agents, conduct large-scale deep learning training runs, and design experiments to evaluate new ideas. They will also collaborate with a team to write academic papers and technical reports while staying current with ML publications.

Requirements

Candidates must be currently enrolled in a Bachelor’s or Master’s program in Computer Science or a related technical field. Strong coding skills in Python and Pytorch, along with a solid understanding of machine learning principles and deep learning architectures, are required.

Listed skills

• Technical Reporting · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine learning
• Deep learning
• Python
• Pytorch
• Transformers
• Reinforcement learning
• Meta-learning
• Data-efficient architectures
• Agentic models
• HuggingFace
• DeepSpeed
• Vllm
• Experiment design
• Academic writing
• Technical reporting
• Large scale training

Job areas

• Technology
• Science & Research
• Software
• Data & Analytics
• Engineering

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