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Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Hands-on experience and solid understanding of machine learning and deep learning methods (GBM, Neural Net, etc.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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Nimble is looking for a Deep Reinforcement Learning Research Engineer to help us advance our robotics moonshot by designing, developing, implementing reinforcement learning algorithms controlling multiple robots for a stealth project.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
$500,000 a yearTemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling and predictive modeling concepts. As a Sr. Data Scientist, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with deep domain experts in fields like AI and NLP. Our engineers made major contributions to projects such as TensorFlow at Google. We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The Data Scientist supports Machine Learning projects from strategy through implementation and on-going improvements. Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks.
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Deep understanding of cancer immunology, oncogenic signaling pathways (RAS, PI3K), and translational drug development, as evidenced by first-author publications, patents, and past success in R&D.
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Passion about TNDCs mission and deep and abiding commitment to affordable housing and community development as well as providing supporting housing services to the underserved, most vulnerable people in the Tenderloin and surrounding SF community.
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Manage the strategy and day-to-day work of all People Operations functions including: payroll, benefits, compensation, performance management, learning & development, engagement and compliance.
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The Bench Manager position is a unique opportunity to embark on a journey of learning and growth, with the ultimate goal of managing a designated home store and its team. The Bench Manager role is a dynamic learning experience, instilling a passion for our brand and a commitment to leadership that will shape the successful management of a future home store and its team.
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Deep understanding in several networking and security operational concepts TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management, NAT, SSL/TLS, CDN, Firewall/WAF, OWASP, operational security, etc.
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machine learning deep jobs Title: data engineer Company: Nova Ltd in San Francisco, CA
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