Applied AI Intern

We’re looking for an Applied AI Intern to help build and deploy production-grade AI systems. In this role, you’ll work closely with engineers and researchers to take models from concept to real-world applications.
You’ll gain hands-on experience working across modeling, data, and systems, contributing to projects that ship to real users.

Key Responsibilities

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Model Development: Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems
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System Implementation: Help build and integrate AI-powered features into production systems
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Data & Pipelines: Work with datasets to support training, evaluation, and iteration
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Experimentation: Run experiments, analyze results, and iterate on model performance
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Evaluation & Monitoring: Contribute to evaluation frameworks and help track system performance
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Cross-Functional Collaboration: Work with engineering and product teams to support feature development

Minimum Qualifications

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Education: Currently pursuing a Bachelor’s or Master’s in Computer Science, Engineering, or a related field
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Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
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ML Fundamentals: Understanding of basic machine learning concepts and workflows
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Problem Solving: Ability to break down problems and contribute to practical solutions
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Curiosity & Ownership: Strong desire to learn and contribute in a fast-paced environment
Nice to Have
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Experience with ML projects, internships, or research
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Familiarity with LLMs, agents, or data pipelines
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Experience building projects outside of coursework
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Interest in working on real-world AI applications