Ready to RiseUp?
RiseUp provide students with a chance to dive into real-world projects, build hands-on skills and experience what it's like to be part of the Revvity. Whether they are a student or recent graduate, this program gives them the opportunity to learn, collaborate and grow in a vibrant culture that promotes teamwork and innovation. Depending on the location and path you choose - internship or co-op - it can last from 3 to 12 months.
Apply now and RiseUp with Revvity.
Check the numbers
- 3xInterns are 3 times more likely to secure a job within 6 months of graduation compared to students with no internship experience.
- 15%Interns who accept full-time roles earn 15% more on average in their first job than those without internship experience.
- 80%80% of employers say internship experience is a key factor in hiring decisions for entry-level roles.
- 60%60% of paid interns receive at least one job offer after graduation, compared to only 36% of non-interns.
- 4.54.5 of out 5 of intern satisfaction rate
- 36Between Jan 2025 – May 2025, we hired 36 interns (globally)
- 11Our global program reaches11 global regions including India, China, US and Europe.
- 37.84%37.84% of our software Akron Ohio diagnostics team consists of employees from the internship program.
- 5757% of interns were converted full time in India this year so far.
Internship success story. Meet our co-op innovators: Senan and James
With fresh perspectives and technical prowess, Senan Gaffori and James Yu have been instrumental in developing AI solutions that serve thousands of Revvity employees worldwide. "I've always been deeply interested in large language models and their applications," shares Senan, a fourth-year Management Engineering student from the University of Waterloo, Canada.
Working alongside him is James, a second-year Biomedical Engineering student who sought "hands-on experience building something that could actually impact a lot of people." Together, they've helped shape Revvity's AI landscape through their internship experiences.
Senan Gaffori and James Yu
The team faced the exciting challenge of deploying large language models at enterprise scale. "LLMs are fascinating—but getting them to do useful things at scale is where the real challenge lies," Senan explains. "The space is still evolving rapidly; new tools and frameworks seem to emerge every week."
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