- New York University (New York, NY)
- …team of developers, data scientists, and researchers dedicated to leveraging AI/ ML for positive impact through public health solutions that better serve ... impact focused environment. We are looking for leaders with versatile AI/ ML expertise and extensive experience creating AI applications that solve complex,… more
- The Walt Disney Company (New York, NY)
- …to design scalable data pipelines, launch performant models, and maintain critical ML systems in production. These efforts drive decisions that impact millions of ... works with a high-performing team of data scientists and ML engineers who design, build, and support our unified... engineers who design, build, and support our unified ML platform. This includes developing AutoML capabilities, development and… more
- Acxiom (Albany, NY)
- …data product builds. This role demands a deep understanding of cutting-edge AI/ ML and MLOps technologies, coupled with a passion for building robust platforms ... in leading the modernization efforts and shaping the future of our ML platforms, enabling modeled product development, advanced marketing analytics, and driving… more
- Acxiom (Albany, NY)
- …lifecycle of Acxiom's modeled propensities. This role integrates software engineering, AI/ ML engineering, data proficiency, and MLOps experience to build a ... MLOps pipelines capable of supporting a large portfolio of ML models and their lifecycles. This role can be...and data science teams to design and develop hyperscale ML engineering and MLOps solutions and pipelines. + Partner… more
- Capital One (New York, NY)
- …Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: + Design, build, ... and/or deliver ML models and components that solve real-world business problems,...the Product and Data Science teams. + Inform your ML infrastructure decisions using your understanding of ML… more
- Bloomberg (New York, NY)
- …constituents. The Information Enrichment & Content Generation (IECG) Team builds scalable ML solutions for two key areas: + Information Enrichment: Traditional NLP ... positions. To solve these, we apply a range of ML /NLP techniques including statistical models, deep neural networks, language...of our team, you will be developing machine learning ( ML ) models to address our business needs. You will… more
- Amazon (New York, NY)
- …(CTR) and Conversion Rate (CVR) predictions. We develop large-scale machine-learning ( ML ) pipelines and real-time serving infrastructure to match shoppers' intent ... areas of opportunities to grow our business via principled ML solutions. * Mentor and guide the applied scientists...a high standard of technical rigor and excellence in ML . * Design and lead organization wide ML… more
- Guardian Life (Albany, NY)
- …You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ ML solutions that will be market-tested and deployed to make a real ... insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design...Research + Stay current with advancements in machine learning ( ML ), artificial intelligence (AI), and industry trends to identify… more
- The Walt Disney Company (New York, NY)
- …enhance how audiences experience sports, entertainment & news. The vision of the Machine Learning ( ML ) Engineering team at Disney is to drive and enable ML usage ... The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle...seek to maximize the positive business impact of all ML at Disney streaming by supporting key product functions… more
- Capital One (New York, NY)
- …Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: + Design, build, ... and/or deliver ML models and components that solve real-world business problems,...the Product and Data Science teams. + Inform your ML infrastructure decisions using your understanding of ML… more