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Top Senior Level Machine Learning Jobs in NYC, NY
The Lead Machine Learning Engineer will lead projects involving machine learning solutions, code implementation, and deployment oversight, while mentoring team members and ensuring best practices are followed. Responsibilities include project management, effective stakeholder communication, and using machine learning techniques to enhance user experiences across Disney's streaming services.
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.
As a Staff Quality Engineer, you will focus on improving product quality through automated testing and collaboration within agile teams. Responsibilities include advocating for quality assurance, driving test coverage, mentoring team members, and analyzing quality metrics to support product management and development teams.
As a Principal Data Scientist, you will lead the development of machine learning models to analyze customer data, enhance digital experiences, and fight fraud. You'll work collaboratively with engineering, product, and business teams to drive innovative solutions using advanced statistical methods across vast datasets.
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As a Machine Learning Engineer at Clay, you will identify opportunities for ML integration in products, prototype and productionize models, collaborate on product engineering, and develop data pipelines to enhance ML functionalities.
The Senior Machine Learning Engineer will develop and optimize ML models for an ad serving platform, focusing on yield optimization, CTR prediction, and advertiser bidding strategies. They will implement ML pipelines, establish frameworks for A/B testing, and mentor junior engineers while collaborating with cross-functional teams to align ML initiatives with business goals.
The role involves developing and productionizing machine learning models, focusing on NLP and speech analytics. The candidate will collaborate across teams to deliver impactful solutions and design scalable data processing pipelines, ensuring high performance in their machine learning applications.
As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will enhance a 3D dental platform, building and researching computer vision models, developing evaluation methods, and implementing MLOps best practices while collaborating with product teams to deliver value.
The MLOps Engineer will design and implement automated deployment pipelines for machine learning and computer vision models, manage the entire model lifecycle, optimize cloud infrastructure, and collaborate with cross-functional teams to enhance model performance, focusing on sports applications.
The Senior Software Engineer will lead the design and implementation of scalable MLOps pipelines, manage monorepos, enhance observability, and collaborate closely with data scientists. Responsibilities include developing deployment strategies, improving data science platforms, and ensuring efficient data extraction for model training.
The Senior AI Engineer will lead the development and maintenance of AI products, collaborating with cross-functional teams to build MVPs and scalable data pipelines. Responsibilities include refining AI products and managing evaluations for ongoing initiatives, aiming to increase user productivity.
Top Companies in NYC, NY Hiring Senior Machine Learning Roles
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