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Internship Machine Learning Chemistry Jobs (NOW HIRING)

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

About the Internship At Avride, ML Engineer Interns operate at the intersection of cutting-edge ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

Instacart

OR · On-site

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

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How much do internship machine learning chemistry jobs pay per year?

As of May 31, 2026, the average yearly pay for internship machine learning chemistry in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Chemistry, and why are they important?

To thrive as an intern in Machine Learning Chemistry, you need a solid understanding of chemistry fundamentals and proficiency in programming languages such as Python, often supported by ongoing or completed coursework in chemistry, computer science, or related fields. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), cheminformatics tools (e.g., RDKit), and data analysis platforms is highly valued. Strong analytical thinking, problem-solving skills, and teamwork set standout candidates apart in collaborative research environments. These skills are important to effectively develop, implement, and interpret machine learning models that address complex chemical problems.

What are some common challenges faced during a Machine Learning Chemistry internship, and how can interns overcome them?

Interns in Machine Learning Chemistry often encounter challenges such as bridging the gap between computational methods and chemical domain knowledge, working with complex and sometimes limited datasets, and adapting to rapidly evolving technologies. To overcome these hurdles, it's helpful to proactively seek mentorship from both data scientists and chemists within the team, dedicate time to learning domain-specific concepts, and regularly participate in team discussions to clarify project goals. Embracing a collaborative mindset and staying curious will also help interns effectively contribute and grow in this interdisciplinary environment.

What is an Internship in Machine Learning Chemistry?

An Internship in Machine Learning Chemistry is a temporary, often academic or industry-based position where students or early-career professionals gain hands-on experience applying machine learning techniques to solve problems in chemistry. Interns may work on projects involving data analysis, molecular modeling, drug discovery, or material design using algorithms and computational tools. The internship provides practical exposure to interdisciplinary research, allowing interns to collaborate with chemists, data scientists, and engineers. It is an excellent opportunity to develop both technical and professional skills in a rapidly growing field.

What is the difference between Internship Machine Learning Chemistry vs Chemistry Research Intern?

AspectInternship Machine Learning ChemistryChemistry Research Intern
Required CredentialsBasic programming, chemistry knowledge, courseworkChemistry coursework, lab skills, basic research experience
Work EnvironmentData analysis, coding, computational toolsLaboratory experiments, chemical analysis
Industry UsageTech companies, research labs integrating ML and chemistryAcademic, industrial chemistry labs
Search & Comparison IntentUnderstanding roles combining ML and chemistry internshipsTraditional chemistry research internship details

Internship Machine Learning Chemistry focuses on applying machine learning techniques to chemistry problems, often involving coding and data analysis. In contrast, Chemistry Research Internships emphasize hands-on laboratory research in chemistry. Both roles require chemistry knowledge, but the former integrates computational skills, making it ideal for those interested in data-driven chemistry careers.

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What cities are hiring for Internship Machine Learning Chemistry jobs? Cities with the most Internship Machine Learning Chemistry job openings:
What are the most commonly searched types of Machine Learning Chemistry jobs? The most popular types of Machine Learning Chemistry jobs are:
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Internship Machine Learning Chemistry jobs near you
Infographic showing various Internship Machine Learning Chemistry job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 11% Part Time, 7% Contract, and 4% Nights. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Research Principal Engineer, Machine Learning

Research Principal Engineer, Machine Learning

Waters Corporation

Cambridge, MA

Other

Posted 12 days ago

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 handson leadership for highimpact, AIenabled research initiatives. The role requires close collaboration with scientists and engineers globally and a strong onsite presence in Milford, MA to enable effective change management and sustained adoption.

Responsibilities

AI/ML Transformation Leadership

  • Identify highvalue opportunities where AI/ML can accelerate research, reduce cost, expand design space, or improve decisionmaking 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 longterm capability growth

AI/ML Research Leadership

  • Apply advanced techniques such as Bayesian optimization, surrogate modeling, generative modeling, and datadriven 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, scikitlearn)
  • Experience building endtoend 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 nonML audiences
  • Experience mentoring and guiding crossfunctional 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 AIdriven discovery and innovation across the Global Research organization. You'll have a direct impact on timetomarket, research productivity, and longterm 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 WordsMachine Learning, Innovation, AI, ML, Research, EngineeringEmployment Type: OTHER

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