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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
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Programming may be in areas such as DeFi, machine learning, data science, ESG, coding, on the technical side. The Master of Financial Engineering Degree is a one-year graduate program for students interested in pursuing careers in quantitative finance, financial technology as well as data science.
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Full Time] Learning Experience Designer - ML & Data Science at Sphere (United States) Knowledge of data science, machine learning, and artificial intelligence is required.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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How you’ll make an impact:Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Our rapidly growing Industrial market encompasses a a broad range of projects that can span from Water/Wastewater treatment, Food & Beverage processing, Mineral Processing, Renewable Fuels, Pulp and Paper, Steel & Aluminum, Specialty chemical, Industrial Energy, Manufacturing, Automotive and Emerging Industrial Markets like EVBattery, Data Centers and Semiconductors.
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Requirements Key Responsibilities: Model Development: Design, implement, and optimize deep learning models for a wide range of applications, including image recognition, natural language processing, and autonomous systems.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Experience with Natural Language Processing (NLP) algorithms, tools, customer/employee survey analyses, segment analysis and pattern detection, etc. Prior experience in data engineering with ETL tools is a big plus.
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Experience applying data science techniques, including time series, supervised learning (, regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (, clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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Collaborate closely with security, operations, development, networking, SD-WAN, and data center engineering teams to ensure smooth integration of IaC solutions with existing infrastructure and processes.
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The engineering team has won international math & physics olympiads, has experience at Google, Facebook, Slack, Quora, Scale AI, Bolt, Snap, Flexport, and other fast-growing startups. There are ~750,000 SDR/BDR's in the US alone (e.g. Airtable , Brex , Databricks and many other tech companies have sizable SDR/BDR teams) In their day-to-day, SDR/BDRs spend time on 3 main activities: Prospecting & research - identify a list of potential customers using signals like industry, size, fundraising, headcount growth, new hires, job descriptions, etc.
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We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done.
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learning natural language processing time data engineering jobs in San Francisco, CA
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