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Proven experience in computer vision, image processing, and camera tuning with experience in using OpenCV. Build robust processing pipelines in linux with deterministic behavior and debuggability.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Experience in development of imaging and CV or related signal processing algorithms (e.g. OpenCV, Eigen, Halide, Game physics and 3D graphics, CODECs, or Communication) Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors.
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Improve and maintain software for processing real-time meteorological data, with automated quality control and rejection of bad data, as well as bias correction. Experience with processing large datasets.
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Hands-on experience in building large scale data processing and retrieval systems and pipelines: Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, Faiss, etc. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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A minimum of 3 years of experience in developing AI, ML, DL, NLP, LLM, and/or multi-agent algorithms, with a focus on fraud detection and prevention. Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus.
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The team is made up of four AI acquisitions and includes technology such as Automatic speech recognition (ASR) from Voicea, Audio quality enhancement from BabbleLabs, natural language processing (NLP) and computer vision (CV) from MindMeld, employee network graphs and personal profiles from Accompany, and much more.
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Expertise in deep neural networks, vector graphics, image processing, computer vision. We invite you to join a team of hardworking engineers to elevate our customer experiences to the next level.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with multi-task learning, few-shot learning, semi-supervised learning Experience applying machine learning or other signal processing techniques to noisy sensor data in real-time, interactive applications (e.g., IMU, cameras, EMG.
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MS in Electrical Engineering, with emphasis on RF circuits and systems, Applied EM, Microwave engineering, Digital Signal Processing, and/or Communication Systems; Ph. D. is preferred. Sound knowledge of communication systems theory and digital signal processing principles and applications.
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We are doing world-class work in machine learning, computer vision, natural language processing, speech and audio, and knowledge, and transferring our work into products, which hundreds of millions of users worldwide use.
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Responsible for GPU and CUDA Performance optimization to create an industry-leading high-performance LLM inference engine. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
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2+ years experience in signal processing, linear algebra and time-frequency analysis. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger.
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processing job Title: customer service Company: Remote Career Jobs in Sunnyvale, CA
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