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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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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. MFE students are pursuing highly technical careers in areas such as quant trading, quant research, data science, machine learning, risk management among others.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning 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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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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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. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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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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You will partner with a team of expert applied researchers who specialize in various domains, including document understanding, natural language processing (NLP), computer vision, and more to prototype and productionize solutions for real business use-cases at scale.
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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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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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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. 8+ years of backend software development experience in building and maintaining applications in any mainstream language such as: Java, Python, Kotlin, Ruby, Go, Swift, C.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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Mentor and develop engineering talent, fostering a culture of continuous learning and professional growth within the FedRAMP SRE team. This role is the Site Reliability Engineering Manager for the FedRAMP SRE team at ThousandEyes.
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QualificationsExperienceMust have at least one year of recent experience as an operating room technician surgical attendant anesthesia technician or central processing technician. Certification as a Central Processing Technician or Surgical Technologist required (CT SPT.
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machine learning natural language processing time engineering jobs in San Francisco, CA
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