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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
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Stem’s leading AI-driven enterprise software platform, Athena®, enables organizations to deploy and unlock value from clean energy assets at scale. The EMS is responsible for control, monitoring, diagnostics, and alerting of technical and performance issues, and harnesses significant operational experience from Stem’s deployment and Network Operations Center (NOC) teams as well as bridges both cloud software and edge capabilities.
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You will participate in the full software development life cycle for the cell atlas projects that we are involved in such as the HuBMAP Data Portal ( You may also contribute to our team’s spatial data visualization tools, such as Vitessce.
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The position will build upon concepts including feature engineering, statistics, data visualization, and optimization, to lead machine learning based analyses of complex data involving tabular, free text, and imaging data.
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The Glide Phase Interceptor (GPI) SW Technical Authority is responsible for architecting, developing, and integrating Real-Time Embedded Software on target hardware environments. The responsibilities for the SW Technical Authority encompass the following: technical execution and leading the team through the Software Development lifecycle (SRR, PDR, CDR, FQT), including transition production.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Experience with the application of external AML and sanctions software, including LexisNexis Bridger. Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Lead Site Reliability Engineering (SRE) is what you get when you treat system operations as a software engineering problem. The SRE team builds foundational backend services as well as tooling and automation to allow product teams to release and scale their software reliably and predictably.
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What you will be responsible forDesign, develop, and maintain scalable data pipelines using pyspark on Databricks, adhering to best practices and emphasizing software engineering principles. Stay up-to-date with the latest trends and technologies in data engineering, software development, and testing practices, and actively share knowledge with the team.
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Software development practices like DevOps and CI/CD tool chains (i.e. Jenkins, Spinnaker, Azure DevOps, GitHub, Visual Studio). Implements new software/application solutions as required by the business.
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The University of Massachusetts Medical School Department of Quantitative Health Sciences, Worcester, MA, is recruiting outstanding Research Scientists (postdoc) in natural language processing, machine learning, data mining and applications in the biomedical and health domain (e.g., question answering, information extraction, summarization, machine translation, pharmacovigilance and drug safety research) to join the research group.
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We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, signal processing, sensor innovation, and multi-modal sensor fusion. We're looking for a candidate who has effectively led and closed software sales, preferably related to human performance or health applications within DoD. Furthermore, as a provider of key technology, we seek a candidate who understands the procurement behaviors, ecosystems, and processes of Prime Contractors, government program offices, and defense innovation organizations.
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The VP (Digital Platforms) will be responsible for overseeing teams of software platforms and providing leadership, vision, product strategy/roadmap and technology direction for the platform engineering organization.
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We provide unparalleled capabilities with our lab analysis, sample management and storage services, informatics software, and consumables, with the largest installed base managing over 1 billion samples globally.
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machine software jobs Company: Facebook in Quincy, MA
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