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Significant experience in at least one machine learning research area, such as multimodal modeling, representation learning, safety & robustness, uncertainty quantification, interpretability, physics-constrained ML, or graph-based learning.
$159,330 - $204,636 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD 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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
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Masters or PhD degree in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.
$126,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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This work will be performed in close collaboration with pediatric neurologist and epileptologist clinician researchers and faculty at NCH.The candidate should be able to leverage both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least one of the following areas: statistical and predictive modeling, machine learning, natural language processing, and geospatial analysis.
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Using advanced Econometrics, Statistics, and Machine Learning to perform Quantitative analysis for portfolio construction and alpha generation, risk budgeting, trade sizing, stress testing, scenario analyses, performance attribution, risk model validation, new product development, exposure, and performance monitoring/reporting.
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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Our Quantitative Researchers specifically focus on conducting alpha/signal/features research, improving those machine-learning models, and refining trading algorithms. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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API Development & Deployment: Develop and implement APIs using Flask, FastAPI to deploy machine learning models and integrate them into existing systems or applications. Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning.
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Engage in continuous learning to stay abreast of the latest developments in mobile health technology, data science, and machine learning. Develop on-device data visualization and machine learning models for personalized feedback and adaptive interventions.
$85,600 - $107,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Candidates will work with machinery and around work stations that may require the use of a mouse and a computer for basic data entry when necessary however most of the work will require learning CNC equipment to machine parts for bearings manufacturing process.
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machine learning jobs Title: research Company: Carnegie Mellon University
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