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Deliver high-quality code components to power services, servers, distributed systems, and backend architecturePartner with industry-leading Engineers, Artists, Producers and DesignersIncorporate the AI, machine learning, and Computer vision capabilities into solutions and services.
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Incorporate the latest AI, Machine Learning and Computer vision capabilities into the design of Microsoft products and services. Incorporate the AI, machine learning, and Computer vision capabilities into solutions and services.
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Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients. Hands-on working with XOps and advanced Data Science areas such as Computer Vision, NLP, and Advanced Analytics.
$181,000 - $280,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
RemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerRemote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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DomainTools constantly monitors the Internet and brings together the most comprehensive and trusted domain, website and DNS data to provide immediate context and machine-learning driven risk analytics delivered in near real-time.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNet. Healthcare including dental, vision, mental health, and well-being programs.
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Our team's vision is to create a self-service, GitOps driven, developer-centric platform that allows for continuous integration and deployment of our world class security applications to our hybrid cloud environment.
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Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster Relief.
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Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.
Part-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. Requirements:Knowledge, Skills, and Abilities:PhD in Computer Science or a related field with at least 1 years of experience OR MS in Computer Science or related field with at least 3-4 years of industry experienceExperience training and fine tuning LLMsExperience with time series anomaly detectionIn-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
$174,800 - $240,350 a yearFull-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Mentoring, coaching and learning programs.
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You will have a working knowledge in one or more of the following areas: machine learning (ML), data mining, information retrieval, search, or statistics. You will have 7+ years of relevant experience in building distributed internet-scale systems and machine learning infrastructure.
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