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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
$44 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Doctorate degree in Applied mathematics, Computer Science, Engineering or related field and 3 years of industry/academic experience. Master’s degree in Applied mathematics, Computer Science, Engineering or related field and 6 years of industry/academic experience.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master’s degree in Data Analytics/Data Science, Engineering, Computer Science, Information Technology, or similar discipline and 10+ years of directly relevant work experience developing and managing data analytics, data science and analytics engineering products, workflows, tools and processes and 3 years of leadership experience.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Requirements Education Bachelor’s degree from an accredited college or four-year university in instructional design, instructional technology, education, communications, computer science, information systems or closely related field or related equivalent experience.
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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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As the supply team's Engineering Manager , you will support our integrations with international credit bureaus, bank data providers, payroll systems, OCR systems, fraud systems, and other entities that power our platform (you can read more here.
$216,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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PhD in machine learning or computer science. The Senior Machine Learning Engineer II is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
$161,200 - $237,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
machine learning computer science systems engineering equity and inclusion jobs Title: engineering in San Francisco, CA
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