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Digital Assistant Development : Develop and integrate advanced conversational AI capabilities for digital assistants, leveraging natural language processing (NLP) and machine learning models.
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Bonus: Experience with machine learning model integration and data pipeline design. We work collaboratively with peer developers, product managers, designers, architects, data scientists, and various business partners to define and develop low-friction, high-precision systems that protect our customers and vendors.
$176,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, experience with machine learning, optimization, and control algorithms. Experience with machine learning, optimization, and control algorithms is a plus. This will be a data engineer role for processing battery testing data to facilitate battery algorithm delivery and support battery algorithm simulations to validate the battery algorithm and project the product KPIs. Requires battery modeling and algorithm knowledge and hands on experiences in data analysis and Matlab programing.
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We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics, and video processing, combined with world class software and silicon development.
$254,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
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Collaborate with machine learning and data scientists to identify and resolve requirements in order to improve the training cost and turnaround time on the ML platform. Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs.
$325,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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An engineer computational scientist, or physicist with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an AI setting. Port and optimize a variety of machine learning-based models and applications for AMD CPU and GPU systems.
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML.
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Years of experience in Databricks Machine Learning. Years of experience in Machine Learning ? Have you deployed a model with unstructured data using Databricks model serving.
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We're hiring for a Series B furniture AI start-up in the Bay Area. They're looking for a Senior Machine Learning Engineer to drive innovation in the furniture tech world, working on a variety of computer vision and machine learning problems.
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SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
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As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world.
$237,050 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data. Knowledge of visualization tools like tableau, R Shiny with libraries to effectively communicate the results/inferences derived out of data science models.
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Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
$203,200 - $279,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
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