(Senior) Scientist, Machine Learning

Build Models Where None Exist Yet.At Flagship Pioneering, we create companies from first principles. Within Flagship Labs, small founding teams define new technical theses, test them rapidly, and build ventures around breakthrough ideas.We are forming a machine learning team inside a newly launched venture, Flagship Labs 120. Our work focuses on extracting latent structure from information-rich measurements of complex physical systems—often requiring mechanism-informed modeling, thoughtful inductive bias design, and principled approaches to inverse problems.This is a zero-to-one role focused on modeling innovation rather than routine optimization. You’ll design, prototype, test, and refine new approaches that help define the technical foundation of a platform from day one.What You’ll DoDevelop and iterate on ML models for complex measurement data, from representation design through validationDesign objectives and architectures that respect known constraints, symmetries, or latent structure in the dataExplore and compare modeling strategies, balancing strong baselines with more experimental approaches when appropriateInvestigate model behavior and failure modes to improve robustness and interpretabilityCollaborate closely with experimental and technical teammates to align modeling with data generationContribute to shaping the long-term ML strategy and technical direction of a new ventureWho You AreYou may come from physics, applied mathematics, engineering, computer science, or another quantitative field. You have hands-on experience developing machine learning models—ideally in deep learning, representation learning, probabilistic modeling, or related areas. You are comfortable implementing and modifying models, training them end-to-end, and working directly with real data.You likely:Think algorithmically and reason from underlying structureAre comfortable adapting or extending model architectures when neededHave built and debugged meaningful ML systems or research prototypesEnjoy operating in dynamic, early-stage environmentsRead papers, build prototypes to test ideas, and translate concepts into working systemsWhat matters most is your ability to reason across data, models, and the systems they represent.Technical BackgroundRequiredStrong hands-on experience building and training modern ML modelsFluency in Python and at least one major ML framework (e.g., PyTorch or equivalent)Experience working with real-world or experimentally generated dataAbility to design, run, and interpret ML experimentsComfort working in practical development environments (e.g., cloud infrastructure, experiment tracking, reproducible workflows)HelpfulExperience with inverse problems, latent-variable inference, or structured generative modeling (e.g., diffusion or flow-based methods)Familiarity with geometric or symmetry-aware architecturesExperience incorporating physical or structural constraints into learning systemsExperience working with time-series or high-dimensional signal dataExposure to biology, chemistry, physics, or related sciencesABOUT FLAGSHIP PIONEERINGFlagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at .At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.The salary range for this role is $130,000 - $230,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL120 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL120's good faith estimate as of the date of publication and may be modified in the future.Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact View email address on click.appcast.io.