- Amazon (New York, NY)
- …(AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence ... (GenAI) models. You will interact closely with our customers and with the academic and research communities. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: -… more
- Wolters Kluwer (New York, NY)
- The **VP of AI Engineering and Applied Research** will support the strategy, development, and delivery of advanced Generative AI capabilities across our product ... portfolio. This leader will have a critical role driving innovation in AI-powered customer-facing products, ensuring that solutions are production-ready, scalable, cost-optimized, and aligned with the highest standards for quality, safety, and performance.… more
- JPMorgan Chase (New York, NY)
- …world's leading financial institutions, you've come to the right place. As an Applied AIML Engineer, you provide expertise and engineering excellence as an integral ... part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class… more
- Amazon (New York, NY)
- …business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related ... language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems… more
- Amazon (New York, NY)
- …Vision, and related methods. Key job responsibilities We are looking for talented Applied Scientists who are adept at a variety of skills, especially with ... reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build… more
- Amazon (New York, NY)
- …business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related ... language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems… more
- JPMorgan Chase (New York, NY)
- …and place a high value on diversity and inclusion at our company. As an Applied AI Machine Learning Lead within our dynamic team, you will be responsible for ... applying advanced machine learning techniques to intricate tasks such as natural language processing, speech analytics, and recommendation systems. Your role will involve active collaboration with various teams and participation in our knowledge sharing… more
- Amazon (New York, NY)
- …Tech takes you! We are looking for a self-motivated, passionate and resourceful Applied Scientist with Recommender System or Search Ranking or Ads Ranking experience ... to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding… more
- University at Buffalo (Buffalo, NY)
- Position Title: Distinguished Research Fellow, School of Engineering and Applied Sciences Posting Number: F250047 Employer: State FTE: 1.00 Deadline for Applicants:
- JPMorgan Chase (New York, NY)
- …improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you ... will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively… more