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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Master’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Perform high-level tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
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Apogee is actively seeking a full-time Artificial Intelligence/ Machine Learning (AI/ML) Subject Matter Expert working for the Department of Homeland Security's Advanced Computing Branch supporting the Department of Homeland Security (DHS) Science and Technology Directorate within the Data Analytics Technology (DTC) in Washington, D.C. This position is fully remote.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams, including neuroscience, software engineering, hardware engineering, design, and product management, to ensure seamless integration of machine learning solutions into our products.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers. We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.
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As part of the compiler engineering team, you will be responsible for developing and maintaining ahead-of-time (AOT) and just-in-time (JIT) compilations for quantum computing, including quantum machine learning and quantum chemistry.
$200,321 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Data scientists are not software engineers, and ML engineers will be expected to refactor their Python or R codes into production-ready code and ensure the models are scalable.
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You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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Prior experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch) and distributed training algorithms. Collaborate with machine learning engineers and other partners to understand their requirements and provide infrastructure support for their experiments and projects.
$243,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning software jobs Company: Facebook
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