Overview
Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry. Waters is dedicated to solving problems that matter, achieving greater sustainability, and fostering a culture of inclusion and equity. The Global Research team is looking for an early career individual to help change the way we think about problems, inspire new ideas, and contribute to the next generation of innovations in intelligent instrumentation.
The Waters Global Research team performs early, cutting-edge research on novel chromatography and mass spectrometry systems that have a direct impact on laboratory testing, drug discovery and development and food safety. We are committed to understanding customer needs and pivoting these insights into new and exciting technologies to address those needs. We interface with hardware and software departments and consumers to understand the critical problems of the life sciences and collaborate to drive ideas to solutions. The role of this ML engineer will be to develop classification and prediction models, assist with the development of data pipelines for specialty instrument data, and experiment with new data and algorithmic features to maximize the efficiency and efficacy of the results from our analytical instrumentation.
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Responsibilities
- Explore various statistical and machine learning models, explore data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric data
- Assist subject matter experts (SMEs) in model evaluation and stakeholder presentations
- Use object-oriented programming and functional programming best practices to maintain codebases and write unit tests
- Contribute to the preparation of technical reports, patent applications, and transferable protocols
- Contribute to the construction and maintenance of the AWS data pipeline
- Maintain up-to-date knowledge of relevant scientific literature
Qualifications
- 2 or more years of practical experience in machine learning
- S. in computer science, data science, or related discipline or B.S. with 2 or more years experience
- Experience in model development using Python for machine learning, statistical, and/or mechanistic models.
- Robust programming skills in Python (e.g., numpy, pandas, scipy, scikit-learn)
- Comfortable with Git version control, BASH, or command prompt.
- Comfortable discovering and driving new modeling techniques and best practices from papers, text books, and other technical documentation
- Able to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback.
Preferred Qualifications:
- Experience with one or more of the following is desirable: 1) predictive maintenance or other time series classification and prediction applications, 2) knowledge bases and semantic reasoning, 3) probabilistic programming and Bayesian inference, 4) big data analytics and pipelines
- Proficiency with AWS Lambda, S3, EC2, or Redshift
- Experience with containerizing models and deploying them to AWS
- Knowledge of an object-oriented or functional programming language, such as Java, C#, Scala
We know that sometimes the perfect candidate does not exist, and that people can be put off applying for a job if they do not fit all the requirements. If you are excited about working for us and have most of the skills or experience we are looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Waters is proud to be an Equal Opportunity Employer and is committed to maintaining a diverse and inclusive work environment.
Company Description
Waters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years. With approximately 8,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.
Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We're the problem solvers and innovators that aren't afraid to take risks to transform the world of human health and well-being. We're all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status.
Key Words
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