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Posted 6 months ago
Requirements and responsibilities
About the CompanyHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life transforming solutions. As the first mover in pan modal Large Biological Models LBM, we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.ResponsibilitiesDesign, build, and maintain modern, responsive full stack web applicationsTranslate user flows and designs into robust, scalable codeCollaborate with product, design, and AI/ML teams to deliver seamless user experiencesDevelop and maintain backend services, APIs, and data pipelinesIntegrate front end interfaces with backend APIs and AI/ML model serving infrastructureEnsure high performance, accessibility, and cross browser device compatibilityContribute to shared component libraries and internal design systemsDefine and improve development workflows, coding standards, and best practicesMonitor and improve system performance, observability, and reliabilityRequirements4+ years of experience as a full stack or front end/backend engineerStrong programming skills in JavaScript/TypeScript, Python, and modern frameworks (eg React, FastAPI, Node.js)Experience developing, testing, and deploying production grade web applicationsProficiency in HTML/CSS including SCSS and responsive UI developmentExperience with RESTful and/or GraphQL API design and integrationFamiliarity with front end testing tools, animation libraries, or data visualization frameworksExperience working with modern CI/CD pipelines, Git workflows, and agile developmentExperience deploying applications in cloud environments eg AWS GCP AzureStrong understanding of containerization eg Docker and orchestration tools like KubernetesBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldNice to HaveExperience serving large language models or working with AI ML model inference infrastructureFamiliarity with AI model serving frameworks such as Triton Inference Server, HuggingFace Transformers/Spaces, or GradioPrior work with GPU accelerated tools eg CUDA, cuDNN, TritonExperience developing tools or interfaces for scientific, medical, or biological dataKnowledge of bioinformatics tools or biological data modalities eg genomic, proteomic, single-cellContributions to open source projectsExperience working in a fast paced startup environmentUnderstanding of FAIR data principles and reproducible research workflowsSalary$170,000 - $260,000 a yearClosing DescriptionJoin us as we embark on this journey to redefine the future of biology and medicine.We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.AI DisclosureWe may use artificial intelligence AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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