AI/ML Job: Senior Applied Scientist - NLP Senior Applied Scientist - NLP at Kensho United States › New York › NYC (Posted Feb 17 2023) Please mention that you found the job at Jobhunt.ai Apply now! Do they allow remote work? Remote work is possible, see the description below for more information. Job description Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. Our products are powered by state-of-the-art Machine Learning techniques that allow customers to unlock insights faster using Artificial Intelligence, including voice-to-text transcription, data extraction from documents and natural language processing that gives computers the ability to comprehend and analyze human language.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Who We AreKensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (Named Entity Disambiguation), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us build and deploy state-of-the-art models across a variety of domains!At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/DC/MA) will be required for team meetings or company events.About

Role requiring'No experience data provided' months of experience in None Architect data ingestion and text processing pipelines that will enable the development of useful tools and applications, including literature classification, chatbots, text summarization systems, and more. Qualifications: • Bachelor's Degree in computer science or related field and 4 years of experience; Masters Degree and 2 years experience • Advanced Python skills • Expertise in data structures and principles of optimal algorithm design • Experience working with large-scale data ingestion, both SQL (e.g., Hive, Impala) and NoSQL (e.g., Neo4J) • Some experience with NLP processing pipelines and/or text analysis • Interest in NLP and desire to learn about state-of-the-art NLP systems • Broad knowledge of AI/ML is a bonus, but is not required • Demonstrated ability to work with cloud infrastructure and tools (e.g., AWS, Cloudera) • Proficiency in a secondary programming language (e.g., Scala, Java) is preferred • Ability to multi-task and work within timelines Apply Here For Remote NLP Ops Engineer roles, visit Remote NLP Ops Engineer Roles Role requiring'No experience data provided' months of experience in New York Getty Images works with over 496,000 contributors and image partners around the globe who add 8-10 million new assets each quarter to the 495 million assets contained in our catalogue. There are 2 fundamental questions the Getty Images Search & Ranking Team are working to solve: "If an image is worth a thousand words, wouldn't it be nice if we didn't have to type a thousand words to find it?" And: "What do we do when an image is your search query, instead of text entered into a field" To find a solution to these questions we are building a highly efficient, Artificially Intelligent (AI) Image search engine that pushes the boundaries of Natural Language Processing (NLP) and Visual Search Machine Learning (ML) The Search Team at Getty Images is responsible for building something that has never been built before. On a scale that will challenge the best of the best Engineers and Data Scientists alike.

Artificial intelligence has specified the world of banking and therefore the financial industry as a whole how to fulfill the stress of consumers who want smarter, more convenient, harmless ways to access, spend, save and invest their money. AI in finance is changing the way we relate to money. AI provides assistance to the financial industry to rationalize and optimize processes starting from credit decisions to measurable trading and financial risk management. A current study established 77% of consumers favored paying with a debit or MasterCard related to only 12% who favored cash. But easier payment options are not the only reason the supply of credit is vital to consumers.

Three years into his stint teaching machine learning at MIT Sloan, finance lecturerMichael Shulman has just one complaint: It's hard to keep up. "It's such a fast-moving field, a lot of what's state-of-the-art now wasn't invented when I taught the course a year ago," he said. Officially titled Advanced Data Analytics and Machine Learning in Finance, the course reflects a move in finance, normally a tech-cautious industry, to embrace machine learning to help make faster, better-informed decisions. Specifically, financial analytics firms are turning to natural language processing to parse textual data hundreds of thousands of times faster and more accurately than humans can, said Shulman, head of machine learning at Kensho. A casual observer might assume financial data to be more numerical than textual, but Shulman said that's not the case.

A recent study by Fountech has revealed that two-thirds of adults living in the UK are concerned that the Artificial Intelligence industry will leave them redundant and jobless. This statistic should come as no surprise, as anxiety about AI with regards to the job market has been happening for decades now. While people were able to ignore their worries in the past and simply brush it off, doing so is getting harder by the year as AI continues to make strides. Recent developments in areas such as reading comprehension and autonomous driving make it tougher than ever to avoid thinking about AI. While we are still far from having a machine with human-like intelligence, we certainly do have programs and tools which can perform specific tasks with a level of efficiency beyond that of many people.

On May 9, the New England Venture Capital Association (NEVCA) is holding their annual award show, the NEVY Awards at the House of Blues in Boston. As part of the lead-up to this year's Star Wars-themed event, we're going to be posting a number of bite-sized Q&As between now and the 9th--each offering a bit more insight into what attendees can expect (here's the last one we did with Ascent Venture Partners Senior Associate Baiyin Zhou). For this installment, we spoke with First Star Ventures Founding Partner Millie Liu about the event, as well as trends across the artificial intelligence, machine learning, and Blockchain industries. This year, "Company of the Year in Artificial Intelligence, Machine Learning and Blockchain Technology" nominees include TellusLabs, Feature Labs, Inc., RapidMiner, Circle, Siacoin, and Kensho. Alex Culafi (AC): AI, ML, and Blockchain are three emerging areas of technology. Why do you think Boston is poised to become a leader in these sectors of hard tech?

S&P Global plans to buy machine-learning, analytics and artificial intelligence provider Kensho Technologies for about $550 million to boost its emerging fintech capabilities. The news comes just two weeks after the data, ratings and benchmarks provider said it was acquiring Panjiva, a fintech firm that uses technology to mine large, unstructured datasets tied to the global supply chain. "In just a short amount of time, Kensho's intuitive platforms, sophisticated algorithms, and machine-learning capabilities have established a wide following throughout Wall Street and the technology world," said S&P Global President & CEO Douglas Peterson, in a statement. "Via this acquisition, S&P Global is demonstrating a strong commitment to not just participating in the fintech evolution, but leading it," Peterson explained. S&P Global, which issues ratings, benchmarks and other data to capital and commodity markets, launched a Fintech Venture Investment program and also invested in several fintech companies last year: Kensho, Algomi of London and Ursa Space Systems, an alternative data technology company.

S&P Global has announced its intention to acquire Kensho in a deal worth $550 million. On Wednesday, New York-based S&P said that the deal would bolster the firm's portfolio of next-generation technologies. The acquisition agreement has been signed for $550 million in cash and stock. Kensho's goal as a company is to "deploy scalable machine learning and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time." Founded in 2013, the startup, which has no more than 100 employees, has raised a total of $67.5 million in funding.