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We are building a company to make the transformational power of data science available to everyone, without the need for PhD. Our mission is to unify the data science ecosystem using open source, serving as the bridge between the science and art of data.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications.
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Familiar with open-source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), HDFS, Redis, S3, etc., with practical experience in machine learning system development.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Our mission advances economic empowerment through the power of decentralized solutions, built open source and collaboratively.
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Implement data collection frameworks, curate datasets, perform pre-processing/feature extraction, and build machine learning models for EMG decoding. Familiarity with machine learning and data science packages such as PyTorch and Pandas.
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Our Software R&D department (Tools) is responsible for developing Pixar’s in-house and open-source software. Join forces with valued external partners, and help improve applications deployed with our open-source USD distribution.
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You fit well if you have great experience in modern natural language processing dl based methods, if you can take some idea or business task, find good open source or implement simple methods to create prototype, package all of this for demo and always have ideas on how to iteratively improve (better quality, faster for inference, other workflows.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
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Contribute to the open-source IaC community and promote GEICO's thought leadership in cloud infrastructure automation. You are a champion of open-source technologies and believe in contributing to the community.
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Utilize programming languages like Python, Java, Scala, and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Fluency in at least one deep learning framework such as Tensorflow, Pytorch, or JAX. In this role, you will work on deep learning pricing and forecasting models to improve the performance of FLYR’s revenue management product.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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Collaborate with other Scientific User Facilities on shared open-source projects, including code development and peer review. Lawrence Berkeley National Lab's (LBNL) Advanced Light Source (ALS) Division has an opening for a Computer Systems Engineer to develop cutting-edge data management platforms that facilitate storage, analysis, and visualization for scientific discovery.
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Contribute to building open-source test frameworks for simulated streaming data scenarios on public datasets. Warmly disposed towards open-source and open-core software, but pragmatic about licensing.
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deep learning open source jobs Title: data scientist Company: Md Anderson in San Francisco, CA
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