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Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Technical skills - Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP). Experience in Machine Learning and Deep Learning, including regression,classification, neural network, and Natural Language Processing (NLP.
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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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Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack. BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
Starting at $250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or Tensorflow. Previous experience deploying and supporting machine learning models for computer vision, natural language processing, or recommendation systems.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving. Train advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models.
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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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5+ years of relevant industry experience in a software company as a full-stack engineer. We combine clinical expertise with cutting-edge technology (deep learning, computational fluid dynamics, cloud-based computing) to revolutionize the diagnosis and treatment of coronary artery disease.
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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 12 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, computer vision, signal processing, and/or machine learning. Expertise in programming languages and tools critical for high-performance computing and machine learning, including C.
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We are looking for a full-time Machine Learning Intern - Foundation Models this fall, with strong enthusiasm towards building LVMs and foundation models. Familiar with one machine learning development framework such as PyTorch, TensorFlow, MXNet.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning technical full stack jobs in Mountain View, CA
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