Principal Machine Learning Engineer

iHerb, LLC • Home Gardens, CA

6d • $205,000 - $230,000 • Hybrid

About The Position

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we’ll empower you to live this promise each day as you make a truly global impact in your career. We constantly strive for innovation, while transforming and improving the online shopping experience for our customers. We believe that individually we are incredible, but when we come together, our growth is infinite. In an industry that is constantly evolving, we are on a mission to make an impact on the global market, and the individual and collaborative efforts of our people are paramount to helping us succeed. Whether you work in one of our logistics centers, technology hubs, corporate offices or even from home, your role at iHerb will take you beyond what’s expected, turning challenge into change. If you're ready for it, we want you to join our team. Get started now. Job Summary: The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with business partners to provide machine intelligence driven solutions and products to simplify and enhance the customer experience and to automate core business processes. The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact.

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
• Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
• Generally requires a minimum of two (2) years relevant experience in applied machine learning or machine learning systems/infrastructure, and one (1) year of relevant work experience in machine learning engineering or related fields. (e.g., as a Machine Learning Engineer, ML Ops engineer, or related position).

Nice To Haves

• Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Responsibilities

• 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

Benefits

• The expected salary range for this role is $205,000.00 - $230,000.00 USD. The actual base pay offered will be determined by factors such as the candidate's relevant experience, education, geographic location, and internal equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal