Machine Learning Software Engineer Intern
ML intern on the Machine Learning team developing and shipping production ML models and pipelines. Requires current enrollment in an M.Sc. or Ph.D. program and strong Python/PyTorch backend skills.
About the job
Responsibilities
- Translate product needs into crisp mathematical formulations (models); train those models; and, with a small team ship them to production.
- Design scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Work with data engineers to collect and preprocess data sets for model training.
- Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.
Requirements
- Currently enrolled in a M.Sc. or Ph.D. program in computer science or in a related field during the course of the internship.
- Solid programming skills with an emphasis on backend experience and knowledge. Production code base is primarily Python, PySpark, and PyTorch.
- Excellent communication skills.
- Passion to learn and develop your skills, both in machine learning and software engineering.
Nice-to-Haves
- Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.
Skills
Python, Pyspark, PyTorch, Machine Learning, LLMs, Data Preprocessing, Feature Engineering, Model Training, Model Evaluation
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