About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity
We are looking for a forward-thinking AI Intern to join our HR and AI Teams here at Revvity. This person will play a pivotal role in the end-to-end lifecycle of our HR AI initiatives - from initial data preparation to live deployment and engagement analysis. This role is a unique blend of Technical Development, Data Engineering, and Strategic Pilot Support, offering a 360-degree view of how AI is reshaping the modern workplace.
Key Responsibilities:
1. Agent Lifecycle & Optimization
Support Development:Assist in building and refining existing and new HR AI Agents
Fine-Tuning & Testing:Conduct rigorous testing and iterative fine-tuning to ensure agent responses are accurate, compliant, and empathetic.
Dataset Engineering:Lead the preparation, cleaning, and labeling of high-quality training data to improve agent "intelligence" and reduce bias.
2. AI Engagement & Admin
AI Engagement:Contribute to and supportthe AI at RevvitySpace on RISE, AI User Clubs, and AI Month events by assisting with workshops, prompting contests, and preparing live AI demos
3. Research & Innovation
Critical Thinking Pilot:Provide dedicated support to our "Critical Thinking Pilot" by assisting in the creation of a research bot within RevvityAI to conduct studies, focusing primarily on the "AI-enabled performance tasks“
Qualifications & Skills:
Technical Base:Familiarity with Python, LLM prompting, or No-Code/Low-Code AI agent builders.
Analytical Mindset:Strong data curation skills and an eye for detail (essential for training data and testing).
Critical Thinker: Ability to question AI outputs and analyze the ethical implications of automated systems.