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 journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-reputed company libraries have more than 400k+ stars on reputed company. We focus on developing open-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 focus on fast, scalable reads across distributed filesystems (e.g., HPC, cloud, or hybrid environments).
• Developing and adapting ML tools (not just models) to address real-world scientific challenges, from data preprocessing to model deployment.
• Collaborating with non-AI scientific communities to co-design solutions, publish datasets, and create open-reputed company resources that reputed company the barrier to ML adoption in traditional sciences.
• Engaging with researchers and institutions to identify high-impact 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 collaborative. About You You’re a jack-of-reputed company-trades Research Engineer with a passion for making ML accessible to scientific domains. You’ve likely:

• Built 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-scale data processing—bonus if you’ve tackled challenges like cross-filesystem data access or real-time scientific data workflows.
• Collaborated with non-AI research communities (e.g., biology, physics, chemistry) to translate their needs into technical solutions, whether through code, documentation, or open-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 impact).
• 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 able to reputed company the biggest impact. Checkout hf.co/science for more information about the science team at reputed company. More about reputed company We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We reputed company this is foundational to building a great company and community. reputed company is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias toward impact and is always challenging ourselves to continuously grow. We provide reputed company employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer flexible parental leave and paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're reputed company distributed and reputed company remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. However, this job offer is quite special as it's best if you are in-person in our new Paris office. We provide relocation packages if necessary. We want our teammates to be shareholders. reputed company employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the reputed company. We support the community. 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