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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, linguistics and physics.
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Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
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Experience in applied research, computational social science, statistics, large-scale computing, modeling, or data science, and comfort with relevant tools, e.g., Python, R, Synapse, PyTorch, scikit-learn, in the fields of artificial intelligence (AI), machine learning (ML), and/or natural language processing (NLP.
$124,800 - $292,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science. Knowledge of and experience with signal processing, time-series analysis, biosensor systems, and analyzing biomedical data.
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Experience working with compound semiconductor device processing. Compound semiconductor device processing. master's degree in mechanical engineering, materials science, physics, or a related field.
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The Algorithmic Systems Group within Analog Garage creates advanced algorithms in the fields of signal processing, computer vision, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science, and implements those algorithms in practical and efficient hardware.
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Bachelor's degree in computer science, information technology, business management, or a related field or extensive (5+ years) experience with full cloud software. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Background/experience in one of the following areas: signal processing, image/video processing, machine learning, computer vision, computational hardware, RF hardware, software development, "big data" processing, scientific computing skills (MATLAB, python.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Our multidisciplinary team of researchers brings together experts from a wide range of fields, including neuroscience, signal processing, psychology, and computer science. A bachelor’s degree in biomedical engineering, computer science, psychology, cognitive science, neuroscience, or related field.
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Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines. -Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure.
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Contribute to the development and refinement of machine learning models, including deep learning models for computer vision and natural language processing, to enhance Cria's capabilities in neonatal medicine.
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We believe strongly in working together with domain experts to build our software, and our data analysis pipeline is built in the common language of data science, which is Python. Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
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Assistant/ Associate/ Full Professor in behavioral and translational science of addiction. As part of a cluster hire, Bouve College of Health Sciences seeks an open rank (assistant/ associate/ full professor) scholar with research and expertise in the broad area of behavioral and translational science of addiction.
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