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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a signal processing engineer to develop innovative signal processing, machine learning and deep learning algorithms for real-time primary analysis on a DNA sequencing instrument.
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Master one of several mainstream machine learning development framework such as TensorFlow, PyTorch, MXNet. You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Publications or patents in relevant fields of machine learning and autonomous driving. As a Machine Learning Engineer, you will be responsible for creating and preparing datasets, training and evaluating models, and optimizing algorithms for real-time performance.
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Provide support to development teams responsible for autonomous driving machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment.
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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Databricks - Machine learning professional (highly preferred.
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Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning. Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory.
$257,200 - $399,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
$140,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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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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The project involves the development and application of machine learning and deep learning approaches for spatial transcriptomics, spatial proteomics, and their integration with H&E histopathology data.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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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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Develops artificial intelligence, machine learning, deep learning, and natural language processing algorithms; Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning, NLP, etc.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
electrical machine learning product development jobs Company: Apple in Mountain View, CA
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