{"schemaVersion":"jobsearcher.job.v1","id":"0b6429962c3f191a76dd62ed","url":"https://jobsearcher.com/jobs/0b6429962c3f191a76dd62ed","canonicalUrl":"https://jobsearcher.com/jobs/0b6429962c3f191a76dd62ed","title":"(Senior) Scientist, Machine Learning (Active Learning & Bayesian Optimization)","description":"ResponsibilitiesDesign, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performanceImplement best practices and innovate methods for uncertainty quantificationCombine datasets of multiple fidelities and sources to power data-driven materials discoveryWork with the computational team to identify materials design pathways that target desired functional properties and their synthesisWork with infrastructure and automation teams to transfer data and predictions in real timeWork with the experimental team to drive material discovery and development, and build domain‑specific acquisition functions.Continually cultivate scientific/technical expertise through critical review of ML literature, attending conferences, and developing relationships with key opinion leadersReport findings to stakeholders and leadership in written reports and verbal presentations.QualificationsExperience with uncertainty quantification, active learning and Bayesian OptimizationExperience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets.Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.)Experience using a cloud computing service to reduce runtime to train and evaluate deep learning modelsPhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related fieldStrong self‑starter and independent thinker, with strong attention to detailDemonstrated industry experience or academic achievementExcellent communication and presentation skills, capable of conveying technical information in a clear and thorough mannerEager to work with highly skilled and dynamic teams in a fast‑paced, entrepreneurial, and technical settingPreferred QualificationsExperience using AWS servicesExperience with machine learning integration in experiment workflowsFlagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.#J-18808-Ljbffr","company":"Flagship Pioneering","rawCompany":"flagship pioneering","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-08-21T01:28:10.287Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"19-2032.00","title":"Materials Scientists","slug":"materials-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"(Senior) Scientist, Machine Learning (Active Learning & Bayesian Optimization)","description":"ResponsibilitiesDesign, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performanceImplement best practices and innovate methods for uncertainty quantificationCombine datasets of multiple fidelities and sources to power data-driven materials discoveryWork with the computational team to identify materials design pathways that target desired functional properties and their synthesisWork with infrastructure and automation teams to transfer data and predictions in real timeWork with the experimental team to drive material discovery and development, and build domain‑specific acquisition functions.Continually cultivate scientific/technical expertise through critical review of ML literature, attending conferences, and developing relationships with key opinion leadersReport findings to stakeholders and leadership in written reports and verbal presentations.QualificationsExperience with uncertainty quantification, active learning and Bayesian OptimizationExperience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets.Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.)Experience using a cloud computing service to reduce runtime to train and evaluate deep learning modelsPhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related fieldStrong self‑starter and independent thinker, with strong attention to detailDemonstrated industry experience or academic achievementExcellent communication and presentation skills, capable of conveying technical information in a clear and thorough mannerEager to work with highly skilled and dynamic teams in a fast‑paced, entrepreneurial, and technical settingPreferred QualificationsExperience using AWS servicesExperience with machine learning integration in experiment workflowsFlagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.#J-18808-Ljbffr","datePosted":"2026-08-21T01:28:10.287Z","dateModified":"2026-08-21T01:28:10.287Z","hiringOrganization":{"@type":"Organization","name":"Flagship Pioneering","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0b6429962c3f191a76dd62ed"},"url":"https://jobsearcher.com/jobs/0b6429962c3f191a76dd62ed"}}