Grow Therapy is looking to create a search algorithm that improves the matching experience between clients and providers, with potential to bring Machine Learning to other surfaces across the company.
Requirements
- Experience building and deploying machine learning models in the context of search ranking or recommendation systems.
- Past experience building algorithms from 0->1 and an entrepreneurial mindset
- Strong programming skills in Python and SQL.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Proficiency in working with large datasets, data preprocessing, and feature engineering.
- Knowledge of information retrieval, natural language processing, and ranking algorithms.
- Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment.
Responsibilities
- Design, develop, and deploy a scalable search ranking algorithm to enhance and personalize user experience on the Grow Therapy platform.
- Collaborate with data scientists to define and extract relevant features from large datasets.
- Implement machine learning models for search ranking, including training, evaluation, and optimization.
- Develop and maintain data pipelines and infrastructure to support the continuous improvement of the search algorithm.
- A/B testing design and analysis of performance differences between existing and new model variations to ensure confidence in positive business outcome improvements.
Other
- 5+ years of experience as a ML engineer or Data Scientist- ideally at an early stage or high growth startup - specializing in machine learning algorithms
- Ability to work cross functionally with growth, engineering, product, and an executive team
