Machine Learning Engineer

7 hours ago

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Levi Strauss & Co.

WebsiteLinkedInAll Job Openings

apparel • denim • khakis • retail

10,000+ employees

Founded 1873

👗 Fashion

🛒 Retail

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