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BlackSky is looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky's cutting edge AI/ML Platform.
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Excited by the idea of doing cutting edge work that leverages a wide set of technology from machine-learning to massively scaled distributed computing solutions to front-end web frameworks.
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You will join a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to build cutting edge software solutions to address fundamental risk management issues.
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We take pride in developing and applying cutting-edge Machine Learning technologies and products that optimize the best customer experience. We are looking for an innovative and result-oriented SDE to build our next generation of systems that detect and take action on image attributes across billions of product images, using our internally developed machine learning and computer vision capabilities.
$115,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The lab combines cutting-edge experiments that leverage naturalistic behavior, large-scale electrophysiology, and quantitative methods. Explore and analyze neural data with data science and machine learning methods.
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We are seeking a Staff engineer who can help us develop and expand our top-notch AI infrastructure at LinkedIn. In this role, you would transform the GPU based AI infrastructure for the training and serving of cutting-edge ML models and improve the stack to handle Linkedin scale.
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Experience developing machine learning models using Python or TensorFlow. Looking for a Principal ML Engineer with a focus on Automation & GenAI to lead the development of cutting-edge solutions for a growing, international healthcare company.
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At Warner Music Group, we are building cutting edge inference systems to better understand the landscape of music consumption toward the goal of providing actionable insights that drive business growth.
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Supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications.
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To be successful in this role you will be expected to design/ integrate systems, create cutting-edge solutions optimized for Amazon Web Services (AWS), provide hands-on Cloud analytics and Machine Learning consulting services to defense and intelligence customers in the federal government.
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We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices.
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In this role you will work on DataBricks using Python Libraries to create cutting edge Machine Learning technologies that will help ADP's Sales and Marketing Team. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Able to deeply analyze cutting-edge machine learning (ML), artificial intelligence (AI), and other data science techniques. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Data Annotation Specialist you will contribute to cutting edge machine learning algorithms that power their logistics robots. - Review incoming images and outgoing annotations to ensure quality- Work with Machine Learning and Computer Vision engineers to identity trends- Provide feedback on tools to create a more streamlined, efficient workflow for yourself- Collect and label data used for supervised machine learning on a logistics robot.
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