Machine Learning Engineer

Job description

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 a...