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As an ML Ops Engineer, you will play a critical role in developing and optimizing our machine learning & large language model infrastructure in Databricks. This role requires technical expertise in machine learning operations, a strong understanding of data infrastructure, and the ability to work collaboratively with cross-functional teams.
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Job Summary:We are looking for a Lead Software Engineer to help us grow the data platform. You'll help further the technology that hundreds of data and software engineers, data scientists, and analysts use every day.
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It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI.We're looking for an accomplished Machine Learning Engineer to model functional cell types and cell states using multimodal biological datasets.
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Re-organize ROI transactions into system Deposit batches, which align with deposits made to WFB.Assist Revenue Accountant II, as needed, with preparing cash receipts journal in GL software (Intacct.
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Mainly in a Linux environmentCollaborate with artists and other engineers to provide innovative technical solutions to artistic challengesDesign flexible and performant APIs that enable our software to perform well and scale to highly complex film production workflowsHelp advance Pixar's open-source initiatives like Hydra, OpenUSD (Universal Scene Description) and OpenSubdiv, as well as in-house content creation and pipeline toolsQualificationsStrong understanding of C.
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Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
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OVERVIEW This position can be based out of San Francisco or New York. We are seeking a software engineer with a focus on data infrastructure to join the Modern Treasury Engineering team. Proficiency with relational databases (e.g. PostgreSQL, MySQL) and columnar data stores (e.g. Snowflake, Redshift, BigQuery, HBase, ClickHouse.
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This role is ideal for someone looking to extend their machine learning and software engineering skills into a part mentor, part IC, part advisor role all while leading the ML engineering team.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Apply now to be part of our innovative platform andhelp shape the future of learning in pickleball. Create a positive and engaging learning environment that fosters skill development, confidence, and a love for the sport.
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Develop subject matter expertise in areas like international banking, card issuing, and machine learning for lending. As a Senior Software Engineer, you’re sure to have a big impact.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes.
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HQCA recently acquired Geli, a leading developer of Energy Management System software for energy storage, solar, and other renewable resources. It is a subsidiary of Hanwha Q CELLS Co., Ltd., one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules.
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machine learning software jobs Company: Facebook in San Francisco, CA
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