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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Experience with large scale, distributed training on GPUs (e.g., Nvidia, AMD) and alternative deep learning accelerators. Hands on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion.
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Develop novel algorithms and apply deep learning-based approaches to network and proteomics datasets. Capitalizing on our Series A of $78M from top-tier investors, we are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also have opportunities to work across the entire machine learning lifecycle.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
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Learning and Development resources. While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.
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Invent thoughtful Android tech and open source it. Kotlin, including multi platform with Zipline & Treehouse. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Our merchants can easily keep their schedules open and attract new business—even when they're done for the day. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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The ideal candidate will have extensive experience in deep learning, and natural language processing (NLP). Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
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You will work with large scale data sets to research and train deep learning models for speech recognition. AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Cash App is looking for a seasoned Organizational Leader with a deep interest and passion for Bitcoin who has a history of building successful products, organizations, and high performing engineering teams.
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And we are the only NDR platform that leverages the power of Open Source projects in addition to our own technology to deliver Intrusion Detection (IDS), Network Security Monitoring (NSM), and Smart PCAP solutions.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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deep learning open source jobs Title: data scientist Company: Md Anderson in San Francisco, CA
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