harmony · Israel
Skills: Python, SQL
About Harmony Harmony gives every employee an always-on expert for every service request, inside the tools they already use. Deployed inside Slack and Microsoft Teams, its agents draw on a context graph connecting each employee's identity, devices, applications, and history, resolving requests across IT, HR, finance, procurement, and legal automatically, before a ticket ever opens. With 100+ prebuilt agents that deploy in days, not months, and a 70% no-touch resolution rate, Harmony removes the manual work from enterprise service without removing the humans who should own the hard problems. Built for IT and HR teams that are done waiting for their service platform to catch up with the rest of the business. ABOUT THE ROLE You will join Harmony’s Engineering team to turn large volumes of real-world IT data into insights, models and product features that power our autonomous IT agents. This role sits between data science, applied AI research and engineering. You will dig into tickets, conversations, knowledge articles and system signals at scale, find what matters, and ship it into the product — not leave it in a notebook. You will work closely with engineers, product managers and domain experts. We are building a product, and the best research here is the research customers end up using. WHAT YOU’LL DO - Analyze large volumes of unstructured and semi-structured text (tickets, chats, emails, knowledge bases, logs) to uncover patterns, intents, topics and gaps - Build semantic analysis pipelines: embeddings, clustering, classification, entity and intent extraction, similarity and retrieval - Explore and compare different approaches to complex AI problems, from established NLP techniques to emerging LLM methods, designing experiments to understand what works, why, and under which conditions. - Design experiments and evaluation frameworks, including offline metrics, human labeling and LLM-as-judge, and use them to make clear go / no-go calls - Write production-quality cod…
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