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Senior/ Staff ML Engineer - Recommendations Systems Grow Therapy. What You’ll Be Doing: . We are looking for a machine learning engineer who has worked in search and personalization and is scrappy and pragmatic, using data and deductive reasoning to apply practical approaches into their algorithms. They’ll work directly with our Director of Data to create a search algorithm that improves the matching experience between clients and providers. Your responsibilities will include: .  . Design, develop, and deploy a scalable search ranking algorithm to enhance 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.. Comfortable with A/B testing design and analysis of performance differences between existing and new model variations to ensure confidence in positive business outcome improvements..  . You’ll Be a Good Fit If: . Proven experience in building and deploying machine learning models in the context of search ranking or recommendation systems.. 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. 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.. Ability to work cross functionally with growth, engineering, product, and an executive team . Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment..  . Salary Range: $170,000 - $210,000