iHerb
PrincipalMachineLearningEngineer
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“Principal Machine Learning Engineer at iHerb. Tackle challenging problems. Create scalable machine learning systems”
What You'll Achieve.
Make an impact on millions of users; Ensure predictive models make business impact
Industry & Context.
Identify problems; Troubleshoot problems; Resolve problems quickly; Use sound judgment; Use reasoning skills; Determine when to escalate issues
Ability to work extended hours
What They're Looking For.
Must Have
Coding experience (Java, C#, Python), Experience gathering data from multiple sources using big data technologies, Experience building machine learning infrastructure, Knowledge of modern software development tools, systems, and practices, Exposure to all aspects of the software development life-cycle, Experience with messaging technologies, Experience with Docker and Kubernetes, High degree of accuracy, Attention to detail, Excellent organization skills, Ability to multitask, 2 years relevant experience in applied machine learning or machine learning systems/infrastructure, 1 year relevant work experience in machine learning engineering or related fields, Bachelor's Degree in Computer Science, Electrical Engineering, or related field
Nice to Have
Masters Degree preferred, Google Business Suite experience preferred
What You'll Do.
Tackle challenging problems
Create scalable machine learning systems
Create scalable machine learning platforms
Work closely with business partners
Provide machine intelligence driven solutions
Provide machine intelligence driven products
Simplify customer experience
Enhance customer experience
Automate core business processes
Partner closely with Data Scientists
Partner closely with Applied Scientists
Partner closely with Software Developers
Ensure predictive models make business impact
Partner with the Data Platform team
Adopt common patterns
Build effective abstractions across machine learning pipelines
Simplify existing machine learning processes
Accelerate the modelling process
Develop horizontal solutions
Robustly scale machine learning models
Robustly scale machine learning processes
Build software with Object-oriented Design Patterns and Analysis
Build software with Object-oriented Design
Reduce technical debt
Maintain services at high availability
Participate in requirements reviews
Participate in design reviews
Participate in code reviews
Research new technologies
Prototype new technologies
Interact cross-functionally with technical teams
Identify opportunities to improve iHerb’s platform
How You'll Work.
Team & Collaboration
Cross-functionally with technical teams; Work closely with data scientists; Work closely with applied scientists
Full 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 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,
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