Senior Research Machine Learning Engineer

Waters Global Research department 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. The new hire will contribute to the next generation of innovations in intelligent instrumentation workflows and expert AI user assistance.

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. The role of this Senior ML engineer will be to develop and implement generative AI solutions, engineer traditional ML 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.

This position will follow a hybrid model work approach( 3 days a week , Tuesday, Wednesday and Thursday working from Waters GCC office, RMZ ecoworld, Bellandur, Bangalore)

• Experiment with various LLM, and other machine learning and statistical models, develop data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric data
• Work with subject matter experts (SMEs) to evaluate models, and present results to stakeholders, demonstrating the value of the ML techniques in new product concepts
• 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 advances in machine learning and AI

• Master's in computer science, data science or related field and at least 3 years’ relevant work experience, or a PhD and at least one year of experience. Position level commensurate with experience
• Experience in model development using Python for machine learning, statistical, and/or mechanistic models.
• Robust programming skills in Python (e.g., numpy, pandas or pySpark, scipy, scikit-learn)
• Comfortable with Git version control, BASH, or command prompt.
• Comfortable discovering and driving new modeling techniques and best practices from papers, textbooks, and other technical documentation
• Able to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback.
• Knowledge of an object-oriented or functional programming language, such as Java, C#, Scala is desirable
• Familiarity with signal‑processing methods is desirable
  

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.

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.