senior applied scientist
🇺🇸 Remote Machine learning job: Senior Applied Scientist - NLP at Kensho (NYC, New York, United States)
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.
- North America > United States > California > San Francisco County > San Francisco (0.14)
- North America > United States > New York > New York County > New York City (0.05)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.05)
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Senior Applied Scientist I at Etsy - Brooklyn, NY, United States
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you'll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. We are looking for an experienced Applied Scientist in the Search Ranking team to help understand buyer shopping missions, personalize content, and rank the most relevant search results to our buyers on search pages. As an Applied Scientist, you will work closely with software engineers to build custom large-scale machine-learning models powered in production to deliver customer impact.
- North America > United States > New York > Kings County > New York City (0.40)
- North America > United States > Hawaii (0.06)
- North America > United States > Alaska (0.06)
Senior Applied Scientist - NLP
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and--most importantly--affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 100 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market. We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome.
Senior Applied Scientist - Machine Learning, Personalization, Recommendations, Machine Learning, Causal Inference, Personalization
Job summaryHow can we create a rich, data-driven shopping experience on Amazon? How do we build data models that helps us innovate different ways to enhance customer experience? How do we combine the world's greatest online shopping dataset with Amazon's computing power to create models that deeply understand our customers? Recommendations at Amazon is a way to help customers discover products. Our team's stated mission is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations". We strive to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline customers' shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day. Using Amazon’s large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.Key job responsibilitiesScaling state of the art techniques to Amazon-scaleWorking independently and collaborating with SDEs to deploy models to productionDeveloping long-term roadmaps for the team's scientific agendaDesigning experiments to measure business impact of the team's effortsMentoring scientists in the departmentContributing back to the machine learning science community
Senior Applied Scientist - NLP - Remote Tech Jobs
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
- North America > United States > New York (0.05)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.05)
- North America > United States > District of Columbia > Washington (0.05)
Senior Applied Scientist, Alexa Artificial Intelligence
Job summaryAmazon is looking for a creative Senior Applied Scientist to tackle some of the most interesting problems on the leading edge of natural language processing (NLP) and machine learning (ML) with our Alexa Artificial Intelligence (AI) team. Alexa AI aims to reinvent search and information retrieval for a voice-forward, multi-modal future. We enable customers to interact with unstructured and semi-structured content via a broad range of customer experiences including question answering, summarization, search, and multi-turn dialogues.Key job responsibilitiesIf you are looking for an opportunity to develop innovative solutions to deep technical problems having a massive customer impact, this might be the role for you! As a Senior Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will develop and help deploy novel, scalable algorithms to advance the state-of-the-art in technology areas at the intersection of NLP and ML. You will keep up with relevant research in the field of NLP and publish your work in top-tier conferences. You will contribute to a multi-year research roadmap, enabling the team to focus on the right technical challenges to delight our customers.
Senior Applied Scientist - Amazon AI ai-jobs.net
Amazon AI is looking for world class scientists and engineers to join the Algorithms & Platforms group in Amazon AI Labs. This group is entrusted with developing core data mining and machine learning algorithms for AWS services. At Amazon AI you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.