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Nvidia Machine Learning Internship Jobs in Boston, MA

Nvidia

Senior Hardware SoC Architect

Westford, MA

NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... and machine learning. * Prototype and evaluate end-to-end workflows that demonstrate the ...

Nvidia

Senior Verification Engineer, SoC

Westford, MA · Hybrid

NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can pursue and that matter globally. Our worldwide team of talented people aims to push the boundaries ...

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Nvidia Machine Learning Internship information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of Jul 16, 2026, the average yearly pay for nvidia machine learning internship in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What types of projects do interns typically work on during the Nvidia Machine Learning Internship?

During the Nvidia Machine Learning Internship, interns often work on real-world projects involving deep learning, computer vision, or natural language processing. These projects may include developing new models, optimizing existing algorithms, or contributing to open-source frameworks. Interns typically collaborate with experienced engineers and researchers, gaining hands-on experience while having access to state-of-the-art GPU hardware. The work environment encourages innovation and learning, and interns are often given opportunities to present their results to senior team members.

What is the difference between Nvidia Machine Learning Internship vs Data Science Internship?

AspectNvidia Machine Learning InternshipData Science Internship
Required CredentialsRelevant coursework, programming skills, possibly some machine learning certificationsStatistics, programming, data analysis skills, often a related degree
Work EnvironmentResearch labs, tech company offices, collaborative teams focused on AI/ML projectsBusiness environments, data analysis teams, cross-functional collaboration
Employer & Industry UsageTech companies, AI/ML research labs, hardware/software firms like NvidiaVarious industries including tech, finance, healthcare, and consulting

While both internships involve working with data and programming, Nvidia Machine Learning Internships focus specifically on developing and optimizing machine learning models in a hardware and AI context, whereas Data Science Internships emphasize analyzing data to derive insights across diverse industries.

What is an Nvidia Machine Learning Internship?

An Nvidia Machine Learning Internship is a temporary, hands-on program for students or recent graduates to work with Nvidia’s teams on projects related to machine learning and artificial intelligence. Interns typically assist with research, data analysis, model development, and software engineering tasks using Nvidia’s cutting-edge GPU technologies. The internship provides valuable real-world experience, mentorship from industry experts, and the opportunity to contribute to innovative AI solutions. It’s a great way to build skills, expand your professional network, and potentially secure a full-time role at Nvidia in the future.

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

To excel as an Nvidia Machine Learning Intern, you need a solid foundation in computer science, mathematics, and machine learning concepts, typically supported by progress toward a relevant degree. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and GPU computing tools (e.g., CUDA) is essential. Strong analytical thinking, problem-solving skills, and effective teamwork set standout interns apart. These competencies enable you to contribute meaningfully to advanced AI projects and collaborate efficiently within Nvidia's innovative environment.
What are the most commonly searched types of Nvidia Machine Learning jobs in Boston, MA? The most popular types of Nvidia Machine Learning jobs in Boston, MA are:
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Nvidia Machine Learning Internship jobs near you
Research Principal Engineer, Machine Learning

Research Principal Engineer, Machine Learning

Waters Corporation

Milford, MA • On-site

Other

Re-posted 28 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 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

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