Machine Learning Engineer

Yesterday

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Levi Strauss & Co.

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apparel • denim • khakis • retail

10,000+

Description

• Design, develop, and deploy machine learning models and algorithms • Analyze and process large datasets to extract meaningful insights • Manage and maintain data pipelines to ensure data quality and availability • Utilize ETL tools for efficient data extraction, transformation, and loading • Collaborate with data scientists, data engineers, and other stakeholders to integrate machine learning solutions into products • Continuously improve and optimize existing models for better performance and scalability • Conduct experiments to evaluate model performance and iterate based on findings • Translate abstract data concepts into practical applications • Document model development processes, methodologies, and performance metrics • Implement and manage model deployment in production environments • Monitor and troubleshoot model performance in real time production systems • Develop and maintain machine learning infrastructure, including cloud based solutions • Collaborate with software engineers to embed machine learning models into applications • Participate in cross functional team meetings to align on project goals and deliverables • Contribute to the development of reusable code libraries and frameworks • Ensure reproducibility of experiments and models • Evaluate and integrate third party machine learning tools and libraries • Stay updated with the latest advancements in machine learning and artificial intelligence

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field • Proven experience as a Machine Learning Engineer or similar role • Proficiency in programming languages such as Python, R, or Java • Strong understanding of data structures, algorithms, and statistical methods • Experience with data preprocessing, feature engineering, and model evaluation • Proficiency in managing data pipelines and using ETL tools (e.g., Alteryx, Talend, Informatica) • Familiarity with cloud platforms (AWS, Google Cloud, Azure) and MLops tools • Excellent problem-solving skills and attention to detail • Strong communication and teamwork abilities

Benefits

• Medical, Dental and Vision insurance • Sick Leave • Paid Holidays • Volunteer Time Off • 401k with Match • ESOP • Parental Leave • 100% Employer Paid Life Insurance & Long Term Disability • EAP Program • Bonus • Gym Membership Reimbursement • Ticket Benefits