Senior/ Staff ML Engineer - Recommendations Systems
Job Description
What Youโll 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. Theyโll 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:
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Design develop and deploy a scalable search ranking algorithm to enhance user experience on the Grow Therapy platform.
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Collaborate with data scientists to define and extract relevant features from large datasets.
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Implement machine learning models for search ranking including training evaluation and optimization.
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Develop and maintain data pipelines and infrastructure to support the continuous improvement of the search algorithm.
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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.
Youโll Be a Good Fit If:
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Proven experience in building and deploying machine learning models in the context of search ranking or recommendation systems.
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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
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Past experience building algorithms from 0->1 and an entrepreneurial mindset
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Strong programming skills in Python and SQL.
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Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-Learn).
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Proficiency in working with large datasets data preprocessing and feature engineering.
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Knowledge of information retrieval natural language processing and ranking algorithms.
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Ability to work cross functionally with growth engineering product and an executive team
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Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment.
Salary Range: $170000 - $210000
Date Posted
09/03/2024
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