Overview
6-month remote AI/Data Resident internship for final-year undergraduate students to gain hands-on machine learning and data engineering experience by building scalable solutions.
What you'll do
- Research, design, implement, optimize, and deploy deep learning models.
- Implement and adapt deep learning models and algorithms to Ema settings.
- Develop enterprise back-end software with API development and language model/NLP integration.
- Train machine learning models and work on perception/control for autonomous driving.
- Analyze data by gathering, transforming, processing, and analyzing datasets.
- Build and iterate analysis pipelines to provide insights at scale.
What you'll need
- Be a final-year undergraduate student in Computer Science (or related) graduating by June next year.
- Have a GPA of 8.0 or above.
- Have strong coding skills and the ability to pick up tasks and run with them.
- Have experience with SQL and programming languages like Python, C++, or R.
- Be familiar with Python and frameworks such as PyTorch, TensorFlow, or Keras.
- Have knowledge of statistical methods such as linear models, multivariate analysis, or sampling methods.
Details
- Internship duration: 6 months (program stints).
- Work mode: remote.
- Work schedule: full time during the summer and 20–30 hours/week on average during the semester.
Read the full description and apply on the company’s own careers page.
