Machine Learning Engineer

Impact As a Machine Learning Engineer on the Foundations team you will own the entire ML lifecycle: creating POCs, building production-ready systems, deployment, monitoring and maintenance. In this role you will create scalable, production-ready ML solutions, and optimize the performance and scalability of machine learning models. You will design and conduct offline expriments to validate the impact of algorithmic changes on key business metrics and engage in continuous learning and development. What You’ll Need to Be Successful - 2+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results - Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments. - Excellent software design and development skills in Python - Experience in one or more of the following applied fields: LLMs, Transformers, Recommendations, Personalization - Great interpersonal skills including strong written and verbal communication Skills & Education This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below. Data Science, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language) Bachelor's Degree or equivalent experience | Required Work Arrangement Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role. About Shipt Shipt is a retail tech company that conne