Principal Machine Learning Engineer

iHerb, LLC; United States; Remote; USD 205,000 - 230,000; Full time

Job summary

iHerb, LLC is seeking a Machine Learning Engineer to design and implement scalable ML systems and platforms that impact millions of users. You will work closely with data scientists, applied scientists, and software engineers to deliver predictive models and ML-driven products that streamline customer experiences and automate core business processes.

In this role, you will partner with the Data Platform team to share best practices, build reusable abstractions, and scale ML pipelines.

Qualifications

• Minimum 2 years in applied ML or ML systems.
• At least 1 year in ML engineering or related role.
• Bachelor's degree in CS, EE, or related field; Masters preferred.

Responsibilities

• Develop scalable ML systems and platforms.
• Collaborate with data scientists, applied scientists, and software developers.
• Partner with Data Platform team to apply best practices.
• Deliver ML solutions to improve customer experience and automate processes.
• Ensure models deploy to production with high availability.

Skills

Java

C#

Python

Big data

Messaging systems

CI/CD

Cloud basics

Education

Bachelor's Degree in Computer Science or related field

Masters Degree preferred

Tools

Docker

Kubernetes

Git

Unit testing

Job description

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.

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.

Job Expectations:

• 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

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills and Abilities:

Required:

• 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

Equipment Knowledge:

• Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
• Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Experience Requirements:

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).

Education Requirements:

Bachelor’s Degree in Computer Science, Electrical Engineering, or related field required, Masters Degree preferred.

Judgment/Reasoning Ability:

Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills, and determine when to elevate issues, as required, in a timely manner.

Physical Demands:

The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment:

The noise in the work environment is usually moderate. Other factors are:

• Hectic, fast-paced with multi-level distractions
• Professional, yet casual work environment
• Office / Warehouse environment
• Ability to work extended hours as required

#LI-JC1

Compensation

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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Staffing Agency Submission Notice

iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to [e-mail]. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization.

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.