Top Hybrid Machine Learning Jobs in New York City, NY
The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.
As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms for Disney's streaming platforms, collaborate with cross-functional teams, maintain existing algorithms, and improve personalization strategies to enhance user experiences.
The Senior Software Engineer in Machine Learning is responsible for architecting and scaling personalization and search platforms for the Max streaming app. The role involves collaborating with data scientists, contributing to machine learning systems, optimizing code, and advocating for customer-focused innovation.
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As a Machine Learning Scientist focused on Speech AI and NLP, you will research and produce advanced machine learning models and applications, collaborate across the firm to develop impactful software solutions, and design scalable data processing pipelines for optimizing business results. You will prioritize innovative learning and knowledge sharing.
The Applied AI Scientist will develop advanced algorithms and execute statistical techniques on large datasets to identify trends. Responsibilities include evaluating emerging datasets, owning the development of assets for scaling capabilities, and contributing to the firm's thought leadership through research and publication.
The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
The Machine Learning Infra Engineer will bridge the gap between data science and production systems by optimizing models for runtime performance, designing scalable MLOps pipelines, and implementing monitoring frameworks. They will work closely with data scientists to improve workflows and ensure reliability across the system, while also developing data versioning and deployment strategies.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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