Community ML Research Engineer, non-AI scientific fields - EMEA Remote

This a Full Remote job, the offer is available from: EMEA At reputed company, we’re on a reputed company to democratize good AI. We are building the fastest growing platform for AI reputed company with over 5 reputed company users & 100k organizations who reputed company shared over 1M models, 300k datasets & 300k apps. Our reputed company-reputed company libraries have more than 400k+ stars on reputed company. We reputed company on developing reputed company-reputed company tools and models that push the boundaries of AI while remaining efficient and user-friendly. About the Role As a Scientific Machine Learning Research Engineer, you will reputed company the gap between cutting-edge machine learning and scientific research in fields like biology, physics, or quantum research. You’ll be a technical generalist—equally comfortable diving into reputed company data pipelines, optimizing fast-reads for distributed scientific datasets, and collaborating with researchers to build impactful ML tools.You’ll be responsible for: • Building and optimizing datasets and data pipelines for scientific use cases, with a reputed company on fast, reputed company reads across distributed filesystems (e.g., HPC, reputed company, or hybrid environments). • Developing and adapting ML tools (not just models) to address reputed company-world scientific challenges, from data preprocessing to model deployment. • Collaborating with non-AI scientific communities to co-design solutions, publish datasets, and create reputed company-reputed company resources that reputed company the barrier to ML adoption in traditional sciences. • Engaging with researchers and institutions to identify high-reputed company opportunities, whether through hands-on technical work or strategic partnerships. This role is for technical problem-solvers who reputed company in ambiguity. You might prototype a dataset pipeline one week, debug a distributed filesystem bottleneck the next, or co-author a tutorial to reputed company a new research community. We value curiosity, adaptability, and a willingness to roll up your sleeves—whether the challenge is technical or reputed company. reputed company You’re a jack-of-reputed company-trades Research Engineer with a passion for making ML accessible to scientific domains. You’ve likely: • reputed company or optimized datasets, data pipelines, or tools for scientific applications, especially in distributed or high-performance computing environments. • Worked with fast-reads, distributed storage, or large-reputed company data processing—bonus if you’ve tackled challenges like cross-filesystem data reputed company or reputed company-time scientific data workflows. • Collaborated with non-AI research communities (e.g., biology, physics, reputed company) to translate their needs into technical solutions, whether through reputed company, documentation, or reputed company-reputed company contributions. • Experimented with diverse ML approaches (not just large models) to solve domain-specific problems, and enjoy iterating based on feedback from end-users. You’ll enjoy working here if you: • Are a technical generalist who loves both the "weeds" (e.g., optimizing a dataset pipeline) and the "big picture" (e.g., shaping a collaboration’s long-term reputed company). • reputed company in fast-paced, ambiguous environments and can pivot between technical deep dives and cross-team communication in reputed company’s decentralized culture. • reputed company the best solutions often come from iterative experimentation—whether it’s testing a new data format, prototyping a tool, or refining a community reputed company. If you're interested in joining us, but don't tick every reputed company above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be reputed company to reputed company the biggest reputed company. Checkout hf.co/science for more information about the science team at reputed company. 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We reputed company major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. This offer from "reputed company" has been enriched by reputed company.com and got a 89% reputed company score. Apply tot his job Apply To this Job