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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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Experience as a solutions engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company. Prior experience with modern data technologies stack such as Databricks, Airflow, etc.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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ML in practice – e.g., selection bias mitigation, ROC analysis, field performance analysis, data miningML systems – event-driven real-time ML systems, pipelining and processing frameworks (e.g., Spark, Lucene, EMR)Bonus PointsM.S. or Ph. D. in CS, EE, or equivalentIndustry experience with ML systems is strongly preferredCommunicating machine learning results and capabilities are important on this team.
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Center 2 (19050), United States of America, McLean, VirginiaSenior Data Scientist, AI Foundations. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. We're currently looking to hire research scientists with experience in machine learning and natural language processing.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$237,000 - $337,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Natural Language Processing. Passion for solving real-world problems with web-scale data using and inventing state-of-the-art Machine Learning algorithms. Computer Graphics (2D&3D) Natural Language Processing.
$45 - $61 an hourFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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Is looking for a Principal Data Scientist to join one of our Everest locations working a hybrid schedule. 5+ years applied experience as a data scientist in a related field.
$170,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proven publication record in Operations, Robotics, Machine Learning, Computer Vision, Computer Science, Natural Language Processing, or other related technical fields. Experience in data science and quantitative research.
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We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data Scientist: At least 1 year of specialized experience, equivalent to the GS-09 grade level in the Federal service, to include experience gathering data from multiple sources, data processing, exploratory data analysis, anomaly detection, measurement, unstructured data analysis, interpretation of findings, in microbiology with emphasis on public health OR.
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data scientist processing jobs in San Francisco, CA
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