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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
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The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, and machine learning. The Computational Genetics team is seeking a full-time Computational Biologist who will guide strategic initiatives and directly contribute to identifying and extracting biological insights from high dimensional multi-omics data.
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Engage actively with multiple departments, playing a catalytic role at the intersection of computational biology, machine learning, and domain-specific challenges. Karius core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning.
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The company, through its deep knowledge in key IT industry drivers such as Security, Cloud, Data Management and IoT, can address customer priorities such as revenue and business growth, operational efficiency, innovation, risk and compliance, data governance and sustainability.
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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
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The Governance Team with Robinhood Markets Platforms comprised of the Customer Experience and Customer Trust & Safety areas works with various Robinhood entities including the Operational and Compliance teams at Robinhood Securities, LLC ("RHS"), Robinhood Financial, LLC ("RHF"), Robinhood Crypto LLC (RHC) and Financial Crimes to drive a culture of governance and compliance that actively supports the people, process and technologies vital to our business.
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Machine Learning Data Engineer (Remote - US) Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines. Continuously work alongside machine learning engineers to gather requirements, propose solutions, and implement observable, repeatable, and scalable ML data pipelines.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
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Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision.
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As we continue to expand, we are seeking a highly skilled and experienced Chief Information Security Officer (CISO) to lead our efforts in securing our systems, data, and operations. Internal GRC Program: Lead the development and management of Trustero's internal governance, risk, and compliance (GRC) program, ensuring alignment with industry standards and regulations.
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modern data governance machine learning jobs Company: Wex in Redwood City, CA
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