Principal Machine Learning Engineer

🕒 5 days ago

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iHerb, LLC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🛍️ eCommerce

🧘 Wellness

🛒 Retail

eCommerce • Wellness • Retail

iHerb, LLC is an e-commerce platform that specializes in health and wellness products. The company offers a wide range of products including vitamins, supplements, herbs, sports nutrition, beauty products, grocery items, and more. iHerb is committed to providing high-quality products sourced directly from manufacturers or authorized distributors. The platform is known for its competitive pricing, extensive product reviews, prompt delivery services, and a strong emphasis on customer satisfaction. iHerb serves an international customer base, offering shipping to numerous countries worldwide.

📋 Description

• Partner with the Data Platform team in a two-way exchange of best practices • Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify existing machine learning processes and accelerate the modelling process from the business problem’s inception to deploying a model solution into production • Develop horizontal solutions to robustly scale the team’s machine learning models and processes • Build software with Object-oriented Design Patterns and Analysis (OOA and OOD) with an eye toward reducing technical debt and maintaining services at high availability • Participate in requirements reviews, design reviews, and code reviews • Research and prototype new technologies to support the rapid growth of the business • Interact cross-functionally with a wide variety of technical teams and work closely with data and applied scientists to identify opportunities to improve on iHerb’s platform

🎯 Requirements

• Strong coding experience (e.g. Java, C#, Python) • Experience with gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.) • Experience building machine learning infrastructure following robust software engineering practices • Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, git, unit testing, smoke testing, integration testing, job schedulers, cloud technologies like AWS Lambdas and Google functions, etc.) • Exposure to all aspects of the software development life-cycle • Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.) • Experience with Docker and Kubernetes • High degree of accuracy and attention to detail • Excellent organization skills and ability to multitask

🏖️ Benefits

• Health insurance • 401(k) plan • Time Off and Paid Sick Leave • Paid holidays • Eligible for Restrict Stock Units and annual bonuses