ZipRecruiter

Log In

1

Physics Informed Machine Learning Jobs in Southbridge, MA

Waters Corporation

Turning CNC Utility Operator

Milford, MA

$22.50 - $30.75/hr

Waters Corporation is currently looking to hire a CNC Machinist to join our organization within our ... Micrometer and drop dial indicators as well as learning profilometer and CMM operations. * Interact ...

next page

Showing results 1-20

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Southbridge, MA

Physics Informed Machine Learning information

See Southbridge, MA salary details

$5

$20

$26

How much do physics informed machine learning jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for physics informed machine learning in Southbridge, MA is $20.79, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $26.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What job categories do people searching Physics Informed Machine Learning jobs in Southbridge, MA look for? The top searched job categories for Physics Informed Machine Learning jobs in Southbridge, MA are:
What cities near Southbridge, MA are hiring for Physics Informed Machine Learning jobs? Cities near Southbridge, MA with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you

Research Principal Engineer, Machine Learning

Waters Corporation

Milford, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview
Waters Corporation is seeking a Principal AI Solutions Engineer to drive the adoption and integration of artificial intelligence and machine learning across the Global Research organization. This role will be central to transforming how research is conducted by embedding AI/ML directly into diverse scientific and engineering workflows, such as software and algorithm development, CAD engineering design, and the formulation of chemistry experiments. The successful candidate will be able to source and configure AI solutions and initiate new ways of working in order to accelerate discovery, improve productivity, and increase innovation yield across all Waters technologies.
In addition to serving as the senior AI/ML technical authority within Global Research, this individual will act as a Team Lead for key research programs within the Global Research portfolio, providing technical direction, mentoring, and hands-on leadership for high-impact, AI-enabled research initiatives. The role requires close collaboration with scientists and engineers globally and a strong on-site presence in Milford, MA to enable effective change management and sustained adoption.
Responsibilities
AI/ML Transformation Leadership
  • Identify high-value opportunities where AI/ML can accelerate research, reduce cost, expand design space, or improve decision-making in Global Research processes
  • Source and configure AI/ML capabilities into existing research and engineering workflows, including mechanical and electrical engineering design, chemistry and other scientific research and software and algorithm development
  • Support the use of AI/ML to unlock institutional knowledge from internal data and documentation
  • Establish best practices, standards, and metrics to ensure successful and measurable AI/ML adoption
  • Help establish training materials, documentation, and ongoing learning programs to sustain long-term capability growth

AI/ML Research Leadership
  • Apply advanced techniques such as Bayesian optimization, surrogate modeling, generative modeling, and data-driven experimental design
  • Serve as technical lead or team lead for key AI/ML applied research projects spanning multiple Waters technology platforms
  • Mentor scientists, engineers, interns, and members of the AI/ML champion network, spanning Global Research sites in Milford, MA, Wilmslow, UK, and Bangalore, India

Qualifications
Education & Experience
  • PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience
  • 8+ years of experience applying machine learning in research, engineering, or advanced technology development environments
  • 1+ years of experience learning cutting edge AI technologies and optimizing software development, engineering design or other discipline with on market and/or custom AI capabilities

Technical Skills
  • Expertise in machine learning and applied data science
  • Strong proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience building end-to-end ML pipelines, including data preparation, modeling, validation, and deployment

Leadership & Collaboration
  • Demonstrated ability to lead complex technical initiatives and influence senior scientists and engineers
  • Strong communication skills, with the ability to explain AI and ML concepts to non-ML audiences
  • Experience mentoring and guiding cross-functional teams

Preferred Qualifications
  • Experience with scientific instrumentation, chemistry, or life sciences
  • Prior experience leveraging AI/ML within R&D organization processes
  • Familiarity with change management in technical or research settings

Why Join Waters
This role offers a unique opportunity to shape the future of research at Waters by enabling AI-driven discovery and innovation across the Global Research organization. You'll have a direct impact on time-to-market, research productivity, and long-term technology leadership.
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) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
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.
Key Words
Machine Learning, Innovation, AI, ML, Research, Engineering

Apply