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nlp aws python tensorflow pytorch📋 Description
- Collaborate with engineers and product managers to design AI-powered features.
- Develop, train, and evaluate ML/NLP models using standard tools.
- Work with large datasets: preprocessing, feature engineering, analysis.
- Apply ML and deep learning techniques to private markets problems.
- Assist with production integration, testing, and validation of AI models.
- Support NLP and LLM research to drive product innovation.
🎯 Requirements
- Currently pursuing a Master’s degree in CS/DS/AI or related field.
- Strong coursework in algorithms, data structures, linear algebra, calculus, probability, statistics.
- Courses in ML, DL, NLP, or CV desirable.
- Proficient in Python; TensorFlow, PyTorch, scikit-learn, NumPy, Pandas.
- Familiar with data manipulation, preprocessing, feature engineering; SQL/NoSQL.
- Knowledge of ML/LLM concepts; prompt engineering a plus; AWS/GCP beneficial.
🎁 Benefits
- 11-week remote internship (40 hrs/week).
- Travel to San Francisco for Hackathon.
- Mentorship from AI/engineering leaders; exposure to leadership.
- Potential to convert to full-time post-graduation.
- Fully remote-friendly with in-office options in SF/NYC.
- Work on high-impact AI features shaping product strategy.
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