Senior Machine Learning Scientist - Foundation Models

This website uses cookies to ensure you get the best experience. Spore.Bio and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. See our Cookie Policy to read more about the cookies we set. You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page. Accept all cookies Decline all non-necessary cookies Cookie preferences Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link “Manage Cookies”, that is always available at the bottom of the site. To learn more about what the different types of cookies do, how your data is used when they are set etc, see our Cookie Policy. Strictly necessary These cookies are necessary to make the site work properly, and are always set when you visit the site. Vendors Teamtailor Analytics These cookies collect information to help us understand how the site is being used. Vendors Teamtailor Accept these cookies Decline all non-necessary cookies Skip to main content Career menu Employee Log in as employee Candidate Log in to Connect Spore.Labs · Paris · Hybrid Senior Machine Learning Scientist - Foundation Models Apply for this job About UsSpore.Bio is a deeptech startup founded in 2023 that is redefining microbiological quality control in pharmaceutical, food & beverage, and cosmetics manufacturing. Where Spore.Bio deploys biophotonic and deep-learning technology on factory floors, Spore.Labs takes Spore.Bio's core technology into new territory: from AMR detection to microbiome research and beyond.Spore.Labs is looking for a new talent ready to take real ownership, prototype solutions, build incrementally a robust ML pipeline to train a multimodal foundation model, benchmark SOTA approaches and grow alongside the department they help build.About the RoleData-driven AMR prediction requires access to signals that reveal both the root causes of resistance and the downstream consequences that expose activated pathways. The senior ML scientist will co-build a foundation model mapping multiple modalities (whole genome sequencing, transcriptomics, and proteomics, spectroscopy data, multi-spectral images) to biologically grounded embeddings capturing the state of microorganisms.Working closely with the Spore.Labs ML Coordinator, you will evaluate multimodal integration architectures and propose original approaches that incentivise the model to learn causal relationships aligned with biomolecular rules, leveraging interventional data. You will also reproduce state-of-the-art results from the literature and contribute to model validation campaigns.MissionsCoordinate with ML engineers to contribute in building a foundation model training pipeline at scale on multi-GPU cloud infrastructures.Benchmark AMR prediction approaches from the literature and ensure reproducibility of the resultsDevelop and implement original deep learning models (transformers, graph neural networks, autoencoders) for representation learning from multiple modalities.Maintain an up-to-date knowledge of recent foundation / world model literatureCollaborate closely with microbiologists, omcis experts, computer vision experts, and optical physicists to ensure biological interpretability of AI models.Contribute to scientific...