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Efforts will particularly focus on using supervised machine learning approaches including training artificial neural networks via open source software such as Keras, Tensorflow, DeepLabCut, SimBA, TREBA, etc., or unsupervised learning methods, heuristics, and other algorithms to learn patterns, fit and extrapolate from models, and process large datasets of video frames.
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Harnham is partnered with a dynamic technical organization at the crossroads of semiconductor applications and machine learning. Lead Machine Learning Engineer - Semiconductor.
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With over 10 billion cumulative shipments of SoCs embedded with our CPU IP, our products cover audio, Bluetooth, gaming, GPS, machine learning, MCU and more. You should also admire technical advances, CPU architecture and have a keen interest in tackling present-day verification problems.
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Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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The successful candidate will have a strong conceptual/theoretical and practical/hands-on background in mathematics, physics, artificial intelligence, machine learning (including deep learning), or related area and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, entrepreneurial academic setting.
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Fidelity’s Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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San Francisco and San Jose, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. Sales Territory or Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer.
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Define, maintain, and support Java development environment and standard methodologies, such as Maven, Sonar, Bitbucket security and other Open Source tools. Lead design, code reviews, unit testing, and integration testing using Open Source frameworks.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. As a member of the Perception team at Zoox, you will be responsible for developing and improving state of the art machine learning techniques for doing everything from 2D/3D object detection, panoptic segmentation, tracking, to attribute classification.
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Field of Study/Additional Specialized Training: Preferably in medical physics, computer science, bioengineering, mathematics, statistics, neuroimaging, or related field; Hands-on experience designing, developing, implementing, and validating software solutions, with a focus on neuroimaging, neuroinformatics and machine learning applications.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Develop technical standards for the organization and storage (data wrangling) of both operational and collected data, structured and unstructured, for downstream analysis and reporting.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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National certification (CPhT) - Staff adheres to all C.A.R.E. Standards - Must be able to understand and clearly communicate with all areas of health care personnel - Must understand the basic operations of the Pharmacy Department, including processing prescriber medication orders, the operations of the Omnicell cabinets and software, Epic, the repackaging (pre-packing) machine, and any other technology that the Pharmacy employs in its operations.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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Must have 2 years of experience developing, frameworks, reusable components, workflows; reviewing requirements and defects; preparing HLD, LLD; performing coding, scripting, automation; working with source data; scheduling jobs; using Ab Initio, Python, Teradata, Hive, Unix, ETL, Hadoop, Jenkins, Cloud, Oracle, SQL Server.
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machine learning open source jobs Title: technical manager in Waltham, MA
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