Senior ML Engineer - Recommendations Systems
August 1
🏡 Remote – New York
Description
• 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.
Requirements
• 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
Benefits
• The chance to drive impact within the mental healthcare landscape from day one • Comprehensive health insurance plans, including dental and vision • Our dedication to mental health guides our culture. Wellness benefits include (but are not limited to): • Flexible working hours and location (remote OR in-office, your choice!) • Generous PTO • Company-wide winter break • Mental health mornings (2 hours each week) • Team meditation • Wellness Stipend • In-office lunch and biweekly remote lunch on us! • Continuous learning opportunities • Competitive salary • The opportunity to help build a rapidly scaling start-up organization by taking strong ownership of your work, mentorship, and our unbounded leadership opportunities
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