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Within Bloomberg Law (BLAW), the BLAW Machine Learning Team is the central machine learning engineering team with 10 machine learning engineers working with groundbreaking technologies to build data-driven customer-facing products using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling, text summarization and personalized recommendations.
$165,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning | AI | Python | SQL | Deep Learning | Data Modeling | RAG | NLP | LLM | Start Up | Recommendation Systems. As a Machine Learning Engineer ( Data Extraction ), you can expect to earn up to $210,000 (depending on experience), highly competitive benefits and equity.
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
$143,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expected familiarity with applied machine learning techniques and numerous machine learning algorithms, including classification and regression algorithms, market basket analysis, etc.
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Visits classes of students in NYC schools across the five boroughs to deliver MoMA learning programs. Works directly with MoMA staff to deliver pre-planned learning programs for a range of audiences.
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You have successfully led one or more of the following Finance projects: process automation or standardization, operating model, process reinvention using RPA, Applied Intelligence, Machine Learning, or GenAI.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Explore complex challenges and transform how the bank operates with Applied AI ML opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll apply sophisticated methods to tasks like natural language processing, speech analytics, and recommendation systems.
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Experience with data science / machine learning algorithms and tools (R, Python, or other development tools) required. Independently conducts advanced, complex analyses of internal and external client or industry data sources and leads the development of statistical models and/or machine learning algorithms for analyzing and predicting client behavior, securities performance, risk or economic data.
$108,700 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Snowflake, Spark, and Databricks for data processing, analysis, and machine learning tasks. Title: Big Data/Machine Learning Engineer. 3-5 years of experience as a Software Engineer, with a focus on Big Data and Machine Learning.
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Unparalleled Learning Opportunity. If considering a mobile angle, experience in iOS ( Swift ) and/or Android ( Java / Kotlin ) development or familiarity with cross-platform tools like React Native or Flutter.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
$87,000 - $91,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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Develop strategies to utilize machine learning to enhance the work of OIG-NYPD. DOI's Office of the Inspector General for the New York City Police Department (OIG-NYPD) is authorized to investigate, review, study, audit and make recommendations relating to the operations, policies, programs and practices of New York Police Department (NYPD), with the goal of enhancing effectiveness, increasing public safety, protecting civil liberties and civil rights, and increasing the public's confidence in the police force.
$85,000 - $96,000Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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machine learning jobs Title: scientist applied Company: Chegg Inc in New York, IN, Pennsylvania
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