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Software Engineer, Computer Vision/Deep Learning Bellevue, Washington, United States Mountain View, California, United States Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going.
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Experience in Machine Learning and Deep Learning, including regression,classification, neural network, and Natural Language Processing (NLP). Technical skills - Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP.
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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)Primary Location.
$160,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in computational lithography, image processing, or machine learning. Understanding and exploring Machine Learning based options for improving image quality and computation. Synopsys is looking for a highly motivated software engineer to help enable leading edge semiconductor manufacturing processes by joining our computational lithography modeling team.
$155,000 - $233,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Master’s or PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, signal processing, or machine learning. Experience with deep learning optimization for edge deployment, including quantization, pruning, and knowledge distillation.
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MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience. Experience in causal inference and machine learning. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions.
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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage. Passionate about natural language understanding, information retrieval, or machine learning.
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As a Principal System Architect, you will be responsible for defining system solutions for the data center using Lightmatter's innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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What we need to see:MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning and Computer Vision or equivalent experience.
$176,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a Sr. QA Automation Engineer - Bixby who will be responsible for expertise in AI, large scale data analysis, statistical analysis, deep learning, computer vision, robotics and language understanding to join us.
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learning job Title: electrical engineer Company: Optello in Mountain View, CA
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