Principal Machine Learning Engineer

iHerb; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

iHerb is looking for a Machine Learning Engineer to develop scalable solutions that impact millions. The role requires strong coding skills in Java, C#, or Python, and experience with big data technologies like Spark and Hadoop.

Candidates should have a degree in Computer Science or equivalent and a minimum of two years in applied machine learning. Responsibilities include collaborating with data scientists and integrating machine learning models into production.

Qualifications

• Minimum two years of relevant experience in applied machine learning.
• One year of relevant experience in machine learning engineering or similar roles.
• Experience building machine learning infrastructure.

Responsibilities

• Develop machine learning systems that scale performance.
• Partner with Data Platform team in best practices exchange.
• Adopt patterns to simplify and accelerate machine learning processes.

Skills

Java

C#

Python

Spark

Hadoop

BigQuery

Athena

CI/CD

git

Docker

Kubernetes

Kafka

Google Pub/Sub

Kinesis

RabbitMQ

Education

Bachelor’s Degree in Computer Science

Master’s Degree

Tools

Microsoft Office Suite

Google Business Suite

Job description

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

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.