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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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B.S, MS or PhD in Computer Science, Machine Learning or a related field. This role will contribute to the development and application of Arc’s frontier DNA foundation model ( Evo ), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.
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The Sr Director, Analytical Regulatory Science, is responsible for supervising a team of scientists, who collaborate with product development, manufacturing and quality teams on the construction, documentation and defense of the analytical control strategies in regulatory submissions preparation, review and approval.
$237,660 - $307,560 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
$220,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work type: University Tenure Line Location: Stanford University Categories: School of Humanities & Sciences Comparative Politics, Senior Rank Faculty Position in Political Science The Department of Political Science at Stanford University seeks applicants for a senior appointment at the rank of Associate Professor or Professor.
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The postdoc is expected to develop machine learning techniques for Large Language Model (LLM) Alignment. Proven publication record in Machine Learning, LLM, Optimization, Reinforcement Learning or other related technical fields.
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Stanford University has close to 300 faculty involved in energy research and education across a wide set of disciplines, from science and engineering to energy markets, finance, regulations, and policy.
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The Stanford Synchrotron Radiation Lightsource at SLAC National Accelerator Laboratory has an opening for a Research Associate (RA) with research interests in developing artificial intelligence and machine learning (AI/ML) approaches to guide synchrotron x-ray characterization, particularly in-situ and operando measurements at the beamline.
$70,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C.
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As a Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement.
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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Deep interest in AI capabilities: the technologies (e.g. machine learning, deep learning, and neural networks) and the emerging field (e.g. GenAI, AI Governance, Explainable AI (XAI.
$140,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
machine learning science jobs Company: Money Fit By Drs in Redwood City, CA
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