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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. 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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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.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AIML - Senior Machine Learning Engineer/Scientist, Siri and Information Intelligence. Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining.
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You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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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 26 days ago - UpvoteDownvoteShare Job
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BS/MS in Computer Science, Artificial Intelligence, Machine Learning, or related fields. Assel is a graduate of Harvard Business School and has 7 years of experience building products at FinTechs such as SoFi and Step and at large financial institutions when working at Ernst & Young.
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Artificial Intelligence, Machine Learning, Infrastructure, deep learning, data science, and open source. Retail, Artificial Intelligence, Machine Learning, Data Analytics, Telecommunications, Healthcare, AI and Machine Learning, Natural Language Processing, Fintech, Predictive Analytics.
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PhD/Masters/Bachelors degree in Computer Science, Computer Engineering, Machine Learning, Statistics or a related field with relevant work experience. Fortanix is looking for a Senior Engineer - AI that would be responsible for the following responsibilities: Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding.
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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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Risk: Working with stakeholders to perform risk management and ongoing assessments, and then selecting mitigating and corrective controls based on Pareto analysis Risk: Reviewing SOWs and RFP responses to assess risks Risk: Collect, analyze, and validate open source intelligence Compliance: Ensure regulatory compliance with PCI-DSS, CJIS, and California Consumer Privacy Act of 2018 (AB-375) Communicate with.
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23andMe is seeking exceptional researchers with backgrounds in machine learning, statistics, physics, applied mathematics, and/or computational biology. Deep understanding of computational biology, statistical genetics, and/or machine learning.
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Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Solidify Apache Spark’s position as the world’s most widely-used open-source unified engine for large-scale data analytics.
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machine learning open source jobs Title: senior manager in Mountain View, CA
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