Location: Remote (preferably you are located between the GMT and GMT+7 time zone: Europe, Africa, Asia)

We offer:

• Flexibility: Remote work is the default. Office space in Amsterdam can be arranged, and co-working in Amsterdam and other locations is possible.
• Competitive pay.
• Equity stake in the company.
• A fun, ambitious, and highly talented team.
• Annual global company retreat in the world's most captivating locations.
• Generous tech allowance.
• Flexible travel support for approved business trips.
• You will have a clear impact and responsibility from day 1.

Job Requirements

Requirements:

• Excited to change the world and solve challenging problems.
• Ability to ship code quickly and efficiently.
• Proficiency in Python or another major programming language.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of data structures and algorithms.
• Ability to work with version control systems (e.g., Git).
• Good communication skills and the ability to work in a team environment.

We are impressed by:

• Experience building and optimizing end-to-end machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment.
• Hands-on experience training a variety of models, including supervised and unsupervised learning models, deep learning models, and reinforcement learning models using tools like TensorFlow, PyTorch, scikit-learn, and other ML frameworks.
• Expertise in using command line tools and scripts to preprocess large datasets efficiently.
• Proficiency in hyperparameter tuning, model evaluation, and cross-validation techniques to ensure robust model performance.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying and scaling AI solutions.
• Experience with MLOps practices to automate and streamline model deployment and monitoring.
• Knowledge of data visualization tools and techniques to communicate model insights effectively.
• Contributions to the AI/ML community through publications, open-source projects, or relevant forums.
• Advanced degrees in a relevant field (Computer Science, Data Science, etc.).

Company description

About DeSci Labs

DeSci Labs is an open-source software startup with strong R&D capabilities, dedicated to building infrastructure and innovative products for scientific communication. Backed by $6.5M in funding from leading investors, our mission is to revolutionize the way science is published, validated, curated, and exchanged. We believe in openness, fairness, and truth-seeking.

What We're Building

Our products are designed to accelerate scientific progress by addressing the current system’s shortcomings. We create tools that recognize and reward high-quality science, fostering an environment where the scientific community can thrive through genuine innovation and rigorous research.

Our first application is Nodes, an interactive online platform that lets researchers create, validate, and curate research objects. Research objects are versionable publications that contain a broad range of components such as manuscripts, data, code, and all other files and objects related to scientific research. We will import over 50 million open-access research articles into the Nodes platform this summer, which requires the development of powerful search, browse, sort, and filter functionalities. Nodes will also gain AI capabilities, social features, and unique metrics that require thoughtful product design. Furthermore, Nodes will evolve into a publication platform that enables research-owned scientific journals and communities without paywalls or author publication charges.

We are also developing CODEX (for “Collaborative Data Exchange”). This open scholarly infrastructure protocol aims to weave the truly persistent fabric of the scientific record, where publications and their artifacts can be addressed with high granularity in a participatory open-state repository.

These products will be combined with an incentive layer that rewards communities, journals, and referees for high-quality validation and curation services around scholarly content.

Culture

We value a collaborative and dynamic atmosphere. As a young startup, we support and encourage professional growth: We always find opportunities to expand our skill sets and take on new responsibilities.

We offer flexible remote work arrangements, but we recognize the value of face-to-face interaction for strengthening cohesiveness and creativity in our team. That’s why we offer office space in Amsterdam and bring the full team together at least once a year in inspiring locations. We are an equal-opportunity employer. Join us in shaping our dynamic and innovative company culture.

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