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Expertise in natural language processing, deep learning, LLMs and generative models. Strong programming skills in Python, ability to write and review production-level code and experience with ML/AI frameworks (e.g., TensorFlow, PyTorch, or similar.
$216,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks. 7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
$307,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with LLMs and Deep learning models to develop business and data science solutions. Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.
$240,960 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear), predictive analytics (e.g. deep learning), econometrics, time series/forecasting, vehicle routing and related skills.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means; and performing regularization leveraging Ridge, Lasso, and elastic nets.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Strong working knowledge of deep learning, machine learning and statistics.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client techniques.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Solid understanding of AI/Client algorithms and techniques, including deep learning, time series forecasting and natural language processing. Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript.
$75 an hourFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or Julia, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Utilize advanced machine learning algorithms, including but not limited to deep learning, reinforcement learning, and generative adversarial networks (GANs), to develop innovative solutions.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Strong proficiency in programming languages such as Python, R, or Scala, as well as experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of statistical learning theory and predictive modeling techniques.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiarity with Deep Learning frameworks such as Pytorch, Keras, Tensorflow. · Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regressing, recommender systems, clustering, deep learning.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with at least one scripting language such as Python and with deep learning frameworks (tensorflow, pytorch, caffe, etc) The ideal candidate has a track record of delivering deep learning-based models at scale, enjoys working with cross-functional team members delivering solutions within a timeline, and brings innovative solutions to complex problems with a desire to publish articles at renowned AI conferences and journals.
$152,400 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
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