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Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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This is an excellent opportunity to shape the future of AI-driven protein design and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, and gene editing.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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We’re pioneering mobile energy storage technology and leveraging vertical integration and a software-enabled service model to deliver last-mile electrification for our customers and communities.
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Have previously done one or more of the following: deployed client-side software, including protecting source code, establishing secure licensing, and performing release engineering; or, set up and scaled developer tooling and CI/CD systems; or built ML or IoT data pipelines processing images and metadata from live deployments; or managed high-bandwidth deep learning or super-computing hardware.
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Full Time] Senior Software Engineer (Frontend) - Angular - Remote (UK timezone) at Accredible (United States) | BEAMSTART Jobs. As a front-end focused Senior Software Engineer at Accredible, you’ll be responsible for creating and maintaining the user experiences and interfaces across a product-base that serves millions of users every month.
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CDSS was created to meet the opportunities and demands of a world where data, machine learning, and artificial intelligence inform practice and policy in virtually every arena. The Senior College Advisor for Transfer Students (TS Advisor) specializes in advising transfer students in the College of Computing, Data Science, and Society.
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Demonstrated success maintaining and/or developing data or software engineering infrastructure for data analysis and sharing, and machine learning. Extensive experience with batch-processing systems, data pipeline and workflow management tools (e.g. Luigi, Airflow), containerized applications and container based orchestration environments (e.g., Docker, Kubernetes), and infrastructure as code, such as Terraform.
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As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy.
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As a Software Engineer on the Application Framework team, you will work on developing and improving the software framework that underpins many of our custom, in-house, film-making applications like Presto.
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Implement Common Core State Standards-aligned and Science of Reading-aligned curriculum and lessons that build and integrate rigorous and student-centered learning experiences in English in partnership with Mandarin Chinese co-teacher leading other subjects (i.e. Chinese language arts, mathematics, social science, science.
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Job Title: AWS Data Infrastructure Architect Location: Alameda, CA (Onsite ) Duration: Full time Hire Key Responsibilities: Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism which supports governance on AWS and non-AWS assets.
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Operates Haas and DMG-Mori 3, 4, and 5-axis machining centers to machine a variety of optical materials to precise specifications. Extensive knowledge of any commercially available CAM software - Mastercam is the standard used in our shop and is preferred, but this can also be learned on the job if the candidate has experience with another software platform.
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Working within ALS Photon Science Development (PSD) and ALS Photon Science Operations (PSO) groups, the Research Software Engineer will be a part of a team developing scientific computational workflows that interface with high-speed detectors, infrastructure for near real-time analysis, visualization and data management following FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
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The engineer will play a key role in creating a modern software platform that enhances the credit recovery process, helping Consumers, doctor's offices, and local governments. The role requires 5+ years of Software Development experience , in-depth knowledge of Python, Django, JavaScript (React/Redux preferred) , and hands-on experience with AWS.
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machine learning software engineer data processing big jobs Company: Lyft in Berkeley, CA
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