Waters Corporation is looking to research and develop self-diagnosing, self-healing instruments to enhance customer user experience by building more intelligent systems, with a focus on training machine learning and statistical models for root error diagnosis and automating manual steps.
Requirements
- Strong skillset in Python programming language, Numpy, Pandas and Scipy libraries
- Ability to comfortably and naturally write code in an object-oriented way
- Knowledge / experience with machine learning models
- Knowledge / experience reading online references and research literature and applying algorithms to the code
- Comfortable with Git version control, BASH shell, and virtual environments
- Knowledge/experience with AWS Lambda, S3 and Sagemaker
- Knowledge and class experience with Bayesian inference
Responsibilities
- Support the staff ML Engineers to build out new techniques to improve the models
- Create baseline models, and build/improve the test harness to properly compare alternatives
- Use object-oriented programming and functional programming best practices to maintain codebases and write unit tests
- Contribute to the construction and maintenance of the AWS data pipeline
Other
- Growth mindset who is self-motivated, and ready to overcome obstacles to develop a working research prototype
- Diversity and inclusion are fundamental to our core values at Waters Corporation
- Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status, military service, veteran status, pregnancy, genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law
- Waters is proud to be an equal opportunity workplace and is an affirmative action employer
- All hiring decisions are based solely on qualifications, merit, and business needs at the time
