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Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Contributions to open-source projects related to data science and machine learning.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch. Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Minimum of 4 years of experience developing and implementing Machine Learning models such as Natural Language Processing (NLP), Computer Vision, and Time Series Forecasting. Strong understanding of Machine Learning algorithms, statistical modeling, and data analysis tools such as NumPy, Pandas, and Sikit-learn.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Responsibilities:Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines.
$78 - $79.37ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Broad expertise in machine learning frameworks (Keras, TensorFlow, PyTorch) including design, implementation, and considerations for performance and scalability. Understanding of statistical techniques and experience with various programming languages (Python, R, Java) for data science and machine learning.
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Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Artificial Intelligence, Machine Learning, Deep Learning, computer vision, medical image segmentation, Computer-aided diagnosis, Computer-aided detection, Medical Image Analysis, Object detection, classification, Transfer Learning, Clustering, Precision Medicine, Personalized Medicine, Electronic Health Records, Wearable Devices, Health Informatics, Radiation therapy, Radiology, lung cancer, organs at risk, pancreas, liver etc.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch. and Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our Machine Learning Engineer is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. We're looking for an exceptional Machine Learning engineer who is passionate about data for AI and values it can bring to Grindr, Who loves working with data at scale; and who is committed to the hard work necessary to continuously improve our ML data pipelines, data transformation and model development.
$130,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement. Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
ExpandApply NowActive JobUpdated 8 days ago
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