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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
$50,000 - $130,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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OSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in logistics and material handling centers. You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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As a Quantitative Analyst 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 cloud 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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We're looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive's Machine Learning (ML) practice to directly impact Attentive's AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. We’re looking for a Machine Learning Engineer to join our team and help set the foundations of the company.
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Perplexity is seeking an experienced Software Engineer to design and implement next-generation billing systems. Collaborate with peers across engineering, customer success, finance, and data science teams to ensure precise measurement and reporting.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Paid Life insurance, AD&D, and disability benefits.
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At Candid Health, we’re searching for our first Data Engineer to design, build, and support our next generation of data infrastructure. We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
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You will sell and support our Cardiopulmonary portfolio of industry-leading, life-saving devices such as the Essenz Perfusion System Heart Lung bypass machine, Xtra Autotransfusion System, Inspire Oxygenators, and various other disposable products.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Overview of the Software Engineer - Machine Learning roleThe Williams-Sonoma, Inc. Technology organization seeks a talented Software Engineer - Machine Learning to assist with developing strategies, roadmaps, frameworks and solutions as a key member of our AI & Machine Learning team.
$100,000 - $130,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning.
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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
$151,800 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We build full-stack applications, tooling, and frameworks to improve the productivity of teams at Discord, in particular our product, analytics, and machine learning teams. Coach and mentor the next generation of technical leaders at Discord.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience.
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machine learning software engineer next generation life insurance customer success jobs in South San Francisco, CA
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