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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$274,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Preferred experience in cell and gene therapy, hematopoietic stem cell culture or viral vector production. B.S., M.S. or Ph. D. in a scientific or engineering discipline and 5-6+ years of experience in the pharmaceutical or biologics industry for those who have B.S. or M.S. or 1+ years for those who have a Ph. D.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Manage resources and oversee project planning across multiple teams and programs such as process development, vector engineering, and analytical development. PhD in Pharmaceutics, Biotechnology, Biomedical Engineering, Chemical Engineering, Biology or related field with a strong background in gene therapy-based drug product development and 3+ years industry experience.
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Strong knowledge and experience in mammalian cell culture / bacterial fermentation / viral vector production operations (aseptic operations, cell biology, biochemistry, analytical techniques, bioreactor operations.
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Establish and lead the strategic gene therapy AAV vector engineering roadmap and provide exemplary scientific leadership for the company’s AAV research programs to support the overall corporate strategy.
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Our ecosystem combines multiple R&D technology platforms – including Life Edit, a next-generation, full-spectrum gene-editing platform; a proprietary induced pluripotent stem cell (iPSC) platform, and an RNA, cell, protein, and vector engineering platform – with BaseCamp.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Required skills: Design bioreactor scale-up strategy; research and develop viral vector process; plan and define tech transfer activities such as bill of materials, protocol transfer process, and gap assessment; multi-scale bioreactor hands-on experience 0.5L - 1000L; analyze process analytical technology (PAT) trends and implementation; Raman, Aber probe, etc.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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1+ years of leading application development leveraging Gen AI, including key LLM concepts such as embeddings, storage/retrieval/search with vector databases, Prompt Engineering, integrations and a sound understanding of associated cloud services.
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The ideal candidate will also understand prompt engineering, build domain-specific models leveraging (ideally) vector search, and/or have experience with fine-tuning LLMs (Large Language Models.
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MS or PhD in Electrical or Computer Engineering or Computer Science preferred. Familiarity with SIMD and vector architectures a plus. You will collaborate with experienced CPU and SoC designers in micro-architecture and RTL to assess the feasibility of ideas through modeling, refine ideas and model correlation, and seed new ideas.
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The ideal candidate should have relevant experience in mammalian tissue culture, lentivirus and retrovirus-based cell transduction and engineering, qPCR and basic flow cytometry, and enjoy a fast-paced, collaborative, and vibrant startup culture.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding Build out a Prompt management service via cross organizational partnerships Stay up-to-date with latest advancements in operationalization of machine learning and GenAI Technologies Design and implement capabilities to support MLOps for foundation models.
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This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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You'll be a full time Elasticsearch contributor, building new vector search features and fixing intriguing bugs, all while making the code easier to understand. Youll work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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A PhD degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with a focus on machine learning and deep learning.
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vector engineering jobs in Cambridge, MA
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