Applied AI Researcher

Job not on LinkedIn

November 25

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Logo of Insight Timer

Insight Timer

Wellness • Education • B2C

Insight Timer is a popular meditation and mindfulness platform offering a mobile app and web services that provide a large library of guided meditations, music tracks, talks, live events, and paid courses led by teachers from around the world. The service includes a meditation timer, community features, teacher profiles, and a mix of free and subscription-based content aimed at helping individuals improve sleep, reduce stress, and build a meditation practice.

51 - 200 employees

Founded 2009

🧘 Wellness

📚 Education

👥 B2C

📋 Description

• Lead applied research on prompt engineering, context design, and evaluation strategies for conversational and generative AI systems.**** • Run controlled experiments and rapid iteration cycles to improve model performance and reliability.**** • Build and maintain structured evaluation frameworks using tools like LangSmith, LangChain evaluators, or similar platforms.**** • Partner with engineering, design, and product teams to translate research insights into impactful user experiences.**** • Contribute to the development of context architectures and testing methodologies that scale.**** • Clearly communicate findings and recommendations across technical and non-technical stakeholders.****

🎯 Requirements

• Exceptional written and verbal communication skills in English.**** • Strong analytical and experimental mindset — able to design, run, and interpret model evaluations.**** • Hands-on experience with prompt engineering, context design, or applied work with LLM-driven systems.**** • Comfort with Python and experimentation workflows.**** • Proven ability to work across disciplines, bridging research and practical product impact.**** • Nice to Have • Experience designing evaluation frameworks or user feedback loops for AI models.**** • Background in computational linguistics, cognitive science, human-computer interaction, UX writing, or related fields.**** • Familiarity with LLM architectures, prompt-tuning patterns, or applied NLP research.**** • Prior work in wellness, mindfulness, or mission-driven technology is a plus.****

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