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The Principal Machine Learning Engineer position is available at iHerb, LLC, a prominent eCommerce platform specializing in health and wellness products. This role is designated for individuals passionate about machine learning and seeks to deal with substantial engineering challenges to create scalable machine learning systems that positively influence millions of users globally. As a vital part of iHerb’s mission, the engineer will work collaboratively with various teams to deliver machine intelligence-driven solutions that enhance customer experiences and automate core business processes.
In this role, you will be responsible for several essential tasks that will shape the company’s machine learning capabilities.
Collaborate with the Data Platform team to ensure effective knowledge exchange and integrate best practices.
Enhance existing machine learning pipelines, building horizontal solutions designed to scale models and simplify processes.
Utilize Object-oriented Design Patterns and Analysis to create software that reduces technical debt while maintaining service reliability.
Participate in all stages of software development, including requirements reviews, design reviews, and code reviews.
Remain proactive by researching and prototyping new technologies to cater to the rapid growth of the company’s business.
Work cross-functionally with diverse technical teams to identify opportunities to improve iHerb's platform significantly.
Note: Duties may vary, with additional responsibilities included as the role evolves.
This role calls for a robust set of technical skills and expertise. Key requirements include:
Proficiency in programming languages such as Java, C#, or Python.
Experience with big data technologies like Spark, Hadoop, BigQuery, or Athena.
Proven background in building machine learning infrastructure with a focus on software engineering best practices.
Familiarity with software development tools and practices, including design patterns, CI/CD, git, unit testing, and cloud technologies like AWS and Google Functions.
Experience with messaging platforms such as Kafka, Google Pub/Sub, or RabbitMQ.
Proficiency in containerization technologies like Docker and Kubernetes.
Exceptional attention to detail and excellent organizational skills, capable of handling multiple projects simultaneously.
Candidates should have at least a Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field, with a Master’s Degree preferred. Additionally, the candidate should generally boast a minimum of two years of relevant experience in applied machine learning or systems infrastructure, along with at least one year of direct work experience as a Machine Learning Engineer or in a related position.
While working with iHerb, team members might experience a variety of physical demands, requiring:
The work environment is described as moderate in noise, with a fast-paced atmosphere filled with multiple distractions. Employees may need to work extended hours based on project demands.
The anticipated pay scale for the Principal Machine Learning Engineer role ranges from $205,000 to $230,000 USD. However, the final offered pay may vary based on factors like experience, education, and geographic location.
iHerb is committed to providing a comprehensive benefits package, which includes:
Eligible employees may receive Restricted Stock Units and annual bonuses based on performance criteria. For more extensive details on benefits, candidates are encouraged to refer to iHerbBenefits.com.
The company prides itself on being an Equal Opportunity Employer, inviting applications from all qualified individuals, irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
The opportunity to join iHerb as a Principal Machine Learning Engineer offers a unique chance to impact a global market positively. Your contributions can lead to the enhancement of customer experiences and further the growth trajectory of a leading health and wellness goods provider.
This job offer was originally published on jobicy.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.