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Experience with Pytorch (or tensorflow or similar deep learning framework) Have worked with time-series data from a multi-axis accelerometer, gyroscope, or similar MEMS sensors (preferably in the consumer wearable space.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You have deep exposure to ML tech stack (Sklearn, Keras/TensorFlow, Pytorch, tuning frameworks, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions) as well as analytical & statistical modeling skills (non-parametric prediction, unsupervised learning, measuring uncertainty & statistical inference.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong knowledge of SQL, Python, data-structured languages, and big data. Hands-on experience building statistical, machine learning, and deep learning models.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Familiarity with deep learning libraries like Tensorflow, Keras, pytorch. Strong experience in Python data wrangling/analysis using Pandas, Numpy, Matplotlib, seaborn etc. with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in areas such as customer loyalty, personalization and recommendations, customer segmentation and profiling, Sales Calls, E-mail and Direct mail targeting, retention analysis, churn assessment etc.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Technical experience in Machine Learning Engineering/Data Science or Software Development with recent coursework in ML/DS. Work with a variety of different types, sources, and volumes of data by scraping, cleaning, extracting, and providing assessment to guide a viable machine learning solution.
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In this role, the primary focus is on recommender systems, so the candidate must be able to leverage machine learning techniques such as collaborative filtering, deep learning, reinforcement learning as well as Natural Language Processing techniques important in dealing with content metadata.
$170,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with CNN training and deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives for the enterprise.
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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). As a Data Scientist, you will play a pivotal role in developing state-of-the-art machine learning models to deliver remarkable consumer experiences and drive growth through data science.
$200,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Deep understanding of machine learning theory and algorithms - supervised, unsupervised, generative AI, RAG architecture. Production-grade development skills in Python and experience with machine learning libraries (Scikit-learn, etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning. Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.
$118,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of artificial intelligence techniques, including deep learning and neural networks, implementing artificial intelligence techniques, including in Python or R, international mergers and acquisitions, including due diligence, financial modeling and valuation, including discounted cash flow analysis, IRR analysis, leveraged buyout analysis and accounting fundamentals.
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Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). The Splice AI & Audio Science team is dedicated to pushing the boundaries of artificial intelligence applied to audio data, with the mission to empower music creators everywhere.
Full-timeRemoteExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Prior experience in machine learning model optimization. Background or proven experience in Digital Signal Processing. Background or knowledge in music production. Alternatively, solid experience with diffusion-based or Transformer-based models in the image domain, would be considered.
$165,000 - $206,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
ExpandApply NowActive JobUpdated 24 days ago
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