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Machine Learning Engineer, Ranking & Retrieval

ClickUp · USA · Data

USD 200,000 to 250,000 per year. ClickUp is building the future of work with a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search, all powered by context‑driven artificial intelligence. As an AI‑native company, every team member leverages AI daily and AI fluency is part of the hiring process. The role of Machine Learning Engineer, Ranking & Retrieval is on the Search team, where you will own the full ML lifecycle for ranking and retrieval, from data collection and feature engineering through model training, evaluation, deployment, and ongoing monitoring. You will design and implement algorithms that improve search relevance for millions of users, collaborate with product managers and engineers to define requirements, and ensure that AI models are grounded in the right context to deliver accurate results.

The ideal candidate has several years of experience building large‑scale machine learning systems, strong expertise in ranking algorithms, deep learning frameworks such as TensorFlow or PyTorch, and a solid understanding of information retrieval concepts. Proficiency in Python, SQL, and cloud platforms is required, as is the ability to write production‑grade code and conduct rigorous A/B testing. Experience with large‑scale data pipelines, distributed training, and model serving infrastructure is a plus.

ClickUp offers a collaborative, remote‑friendly environment, competitive compensation, comprehensive health benefits, generous paid time off, and opportunities for professional growth. Join us to help redefine what is possible in the workplace and shape the next generation of AI‑driven productivity tools.

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