#24104
edures that the instruments run on.
The role of this coop is to aid the team to collect and augment specialty instrument data, develop time series classification and prediction models, and experiment with new data features as well as new algorithmic features to maximize the efficiency and efficacy of the results. We are looking for someone with a growth mindset who is self-motivated, and ready to overcome obstacles to develop a working research prototype.
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
Qualifications
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
Desired (considered a plus) Qualifications:
Knowledge/experience with AWS Lambda, S3 and Sagemaker
Knowledge and class experience with Bayesian inference
Experience designing high performance algorithms
Company Description
Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), 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.