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We are looking for a principal software engineer to join our Data Platform team and lead its architectural design and implementation. Magnify uses machine learning along with a sophisticated orchestration engine to transform that experience to drive adoption, retention, and expansion for our customers.
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We support Cash App’s expansion into new use cases and markets with reliable, well-designed control primitives that empower engineering teams across the company. 8+ years experience building and operating quality software.
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The Engineering department, under the supervision of the Chief Engineer, is responsible for the operation, maintenance and repair of all vessel engineering systems and processes, diesel propulsion and electric generating systems, deck hydraulic and pneumatic systems, Refrigeration systems, and fuel and lubrication systems.
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In order to be considered for this role, you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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Exposure to Azure services like Azure Databricks and Azure Machine Learning desirable. As an MLOps engineer you will be responsible for building set of management techniques for the deep learning or production ML lifecycle hosted on enterprise Data Infrastructure, ML Training Infrastructure, ML Model Deployment Infrastructure and Frameworks that are provisioned on Demand, hardened for Starbucks Security standards and Digital scale.
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Spice AI is also building the Spice.ai Cloud Platform ; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose real-time and historical time-series data, high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service.
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M.S. or B.S. in Biological or Chemical Engineering, Virology, Molecular or Cellular Biology, Biochemistry, or related discipline. - Experience with flow cytometry instrumentation, maintenance, and software (FlowJo.
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The ideal candidate should have a strong background in automatic speech recognition, end-to-end ASR, acoustic modeling, machine learning, or related areas, and have a passion for speech technology and voice interfaces.
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A critical objective for Lead Software Engineer, Investment Operations is to architect and deliver scalable enterprise solutions, leveraging cloud native technologies, designing and implementing micro-services and a relentless focus on performance and resilience.
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As a Senior HVAC Engineer, you will be part of the Facilities, Maintenance, and Engineering environment, utilizing your experience and skills to support the team. What this job involves: JLL is currently seeking a Senior HVAC Engineer with expertise in managing Building Automation Systems (BAS) and Heating, Ventilation, Air Conditioning, and Refrigeration (HVACR) to join our team in Seattle.
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Deep understanding of Machine Learning best practices like training/serving skew minimization, A/B test, feature engineering, model selection. You will work with Engineers leveraging third-party or open source, to build in-house Machine Learning tools & infrastructure - which will help develop reusable, high-performing Machine Learning systems, and enable fast model development, low-latency serving, and ease of model quality maintenance.
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Senior Deep Learning Data Scientist, AI Solutions THE ROLE: This role will be part of the team of Software Engineers that are designing the next generation of ML and AI into the Enterprise Data Center GPU space.
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Software Engineers will perform development/Integration work across Finance (both front-end/back-end expertise). Conducts peer code reviews for the software changes made by other engineers within a team.
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Shannon & Wilson is requesting applications for a Senior Structural Engineer with 14+ years of experience in structural engineering design. The Senior Structural Engineer will be responsible for leading the design process and review, creating structural models using computer-aided technology, and providing structural services in geotechnical, natural resources, tunnels, and railroad markets.
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You'll join as a DevOps Engineer with strengths in developing, deploying, debugging, and testing smart contracts on Ethereum. and/or supporting software development team. Certifications (e.g.: Kubernetes and Cloud Native Associate (KCNA), AWS Developer Associate, AWS Sysops Administrator Associate, AWS Solution Architect Associate, etc.
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machine learning software engineer engineering jobs Title: frontend software engineer in Seattle, WA
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