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Top Hybrid Machine Learning Jobs in New York City, NY
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimizing existing services, writing code, and managing project milestones while collaborating with engineering and product teams. This role requires leveraging ML techniques to enhance user experiences on Disney's streaming platforms.
As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.
The Machine Learning Engineer II will develop algorithms for personalization and recommendation systems for Disney's streaming services like Disney+ and Hulu. Responsibilities include algorithm maintenance, feature engineering, optimization of data pipelines, and collaboration with various teams to enhance data strategy and product features.
Senior Machine Learning Engineers at Altice USA design and implement data solutions to business challenges using AI and ML techniques. They manage projects from data collection to production, collaborating with stakeholders to ensure the developed models meet business needs while identifying opportunities for innovation through data analysis and pattern recognition.
As a Machine Learning Scientist - Speech AI and NLP, you'll develop and implement sophisticated machine learning models for natural language processing and speech analytics, collaborating across teams to deliver impactful software solutions. You'll design scalable data processing pipelines and ensure high-performance model production while driving business optimization through analytical insights.
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The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
As a Senior Machine Learning Engineer, you will build and scale personalization and search platforms for the Max streaming app, collaborating with data science engineers and optimizing machine learning systems. You will contribute to a recommendation system, improve quality and performance, author production-level code, and support troubleshooting efforts.
As a Senior Distributed Systems Engineer focused on Machine Learning, you will develop and maintain scalable AI solutions, design and deploy ML services, collaborate with stakeholders, minimize deployment risks, and ensure integration of innovations from AI research teams into product development.
As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale ML algorithms, and enhance ML engineering platforms. Responsibilities include implementing ML Ops, ensuring code quality, collaborating with teams, and researching new technologies.
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As a Senior Machine Learning Engineer at Canoe Intelligence, you will develop NLP algorithms, train large language models, and work on data preprocessing with cross-functional teams. Your role involves driving innovation in data processing pipelines and mentoring junior engineers.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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