Peak is looking for a Machine Learning Engineer to design and build a dynamic pricing system that reflects reality. The role involves analyzing reservation data, building predictive models, and integrating them into the Peak platform.
Requirements
- Currently pursuing (or recently completed) a degree in Computer Science, Statistics, Applied Math, or a related field — at any level
- Hands-on experience with ML beyond coursework: personal projects, research, Kaggle, internships, etc.
- Comfortable with Python and standard ML tooling (pandas, scikit-learn, PyTorch/TensorFlow, etc.)
Benefits
- Real impact, fast. Your work goes into production, not a research backlog.
- Flexibility. Part-time hours, fully remote, async-friendly.
- Autonomy. You'll drive technical direction, not just execute on specs handed to you.
