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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Solidify Apache Spark’s position as the world’s most widely-used open-source unified engine for large-scale data analytics.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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Provide expertise in one or several areas of machine learning and data science, such as natural language processing, supervised/unsupervised learning, deep learning, reinforcement learning, etc.
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Specific tasks will include data curation and database expansion, database management, website and data server maintenance, data archiving, working with Stanford libraries, and creating computational tools such as Python scripts for data processing to support artificial intelligence and machine learning efforts in cardiovascular imaging and modeling.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments. MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience.
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MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
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Minimum of 5 years of experience in machine learning/data science, with at least 1 year in a leadership or management role. Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
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Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data. Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms.
$150Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Machine Learning / Deep Learning / Convolutional and Recurrent Modeling knowledge is a big plus. Strong background in continuous Computer Science, Statistics, and Data Science.
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BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience. MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience.
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machine learning open source big data science jobs Company: National Science Teachers Association in Palo Alto, CA
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