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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$208,000 - $244,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. Work with trial investigators and the sponsor’s biometrics team to support development and timely execution of bioinformatics and statistical analysis plans for collaborative studies that leverages biomarker and clinical data from the trial to address clinically and/or translationally relevant questions.
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Expertise in statistical modeling, machine learning algorithms, and data mining techniques, with proficiency in programming languages such as Python, R, or SQL. As the Principal Data Scientist for Enterprise Data Science at Gap Inc., you will play a pivotal role in leveraging advanced analytics and machine learning techniques to drive growth, optimize customer experiences, and enhance operational excellence across all Gap Inc. brands.
$196,800 - $260,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Or MS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with 6+ years of relevant experience. Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company.
$180,625 - $212,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective.
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The Machine Operator Role Is Responsible For. You will assemble PCBAs for our world-class hardware that is used in lithium-ion battery systems globally. Stafl Systems is dedicated to advancing all applications of lithium-ion battery technology to achieve a clean energy future.
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As a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$247,800 - $371,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of algorithms for data mining, machine learning, and natural language processing (NLP). Apply your expertise in people research, quantitative and qualitative analysis, data science and data visualization to provide insights on a broad spectrum of people issues (e.g. connection, collaboration, productivity, wellbeing, belonging, career growth) as employees work in a mix of hybrid and in-office settings and product design to support such work.
$144,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work on 7 different platforms, ranging from influencer facing tools, client facing tools, data mining and Machine Learning engines to find the most relevant influencers among social graphs of hundreds of millions, computer vision algorithms to extract meaningful data from instagram pictures, big data structures etc.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including: Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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machine learning data mining jobs Title: machine in San Francisco, CA
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