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This AI safety infrastructure corporation has successfully built and deployed infrastructure for autonomous vehicles while being a leading force in the safe application of machine learning and AI in healthcare.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Machine Learning Software Engineer role requires expertise in scalable model deployment, integration with backend systems, and a solid foundation in PyTorch, Python, and FastAPI. Machine Learning Models, PyTorch, Python, FastAPI, Backend Systems, Model Optimization, API Integration, Scalable Systems, Enterprise Solutions, Large Language Models.
$350,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Apply Machine Learning and other advanced data analysis techniques for anomalous access detection and false positive reduction across various vulnerability management programs. Apply Machine Learning and other advanced data analysis techniques for anomalous access detection and false positive reduction across various vulnerability management programs.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Analytical: Proven track record in storytelling through data visualization, developing insight-backed hypotheses and driving learning plans to build compelling business cases and influence key decisions.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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. About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
$185,000Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Work with large-scale datasets to solve complex business and technical problems in gaming through analytics, forecasting, machine learning, recommender system, generative AI, experimentation, causal inference, and econometrics.
$260,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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If you are passionate about applying Machine Learning and data mining to the driving domain and shipping improvements to our customers, we would like to talk with you! We use Machine Learning with millions of miles of driving data to power these workflows and are looking for an ML engineer who will lead and develop the AI strategy across a variety of projects.
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Responsibilities Strong computer vision, machine learning, image and video-processing background, with hands-on experience in building real systems. Specialized Area: Machine learning.
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The AD/ADAS team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art online mapping system for autonomous driving. This means instead of utilizing a high definition (HD) map to retrieve road geometry, speed limits, and other necessary information to operate an autonomous vehicle, a real-time machine learning model estimates such necessary information directly from perception data.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a key contributor to our Machine learning efforts across Snap, you will take ownership of technology development synergy and operations across a team of experienced and talented researchers and engineers.
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The ideal candidate will have deep expertise in Python, algorithm design, large-scale backend development, and experience in machine learning, with a particular focus on Generative AI technologies.
$372,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As an Applied Machine Learning Engineer, you’ll research and utilize established and state-of-the-art machine learning (ML) techniques to successfully deliver solutions to our customers.
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Job Title: Machine Learning Engineer. Solid understanding of common machine learning techniques, applications, and trade-offs. Job Title: Machine Learning Engineer. Minimum Requirements: Bachelor's degree in a Science, Technology, Engineering or Math (STEM) field; graduate degree in STEM or business field preferred.
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Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. Strong experience working with machine learning and natural language processing techniques and tools.
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machine learning jobs in Redwood City, CA
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