Top Machine Learning Jobs in New York City, NY
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.
As an AI Research Scientist, you will lead the design and implementation of large-scale experiments, enhance existing products using advanced machine learning techniques, and publish research findings. You'll collaborate with partners on research initiatives and refine methodologies under minimal supervision.
The Applied AI Modeling Lead will drive the development of advanced analytical products, utilizing deep NLP knowledge to solve complex business problems. Responsibilities include delivering products, mentoring team members, and acting as a subject matter expert in machine learning and algorithms.
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The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks for various businesses. The role involves transforming structured and unstructured data into actionable insights and collaborating closely with product management and software engineers.
As a Senior Software Engineer in Machine Learning at Celonis, you will design and develop AI/ML product features and solutions. Responsibilities include understanding customer needs, designing scalable models, implementing data collection mechanisms, and building robust infrastructure for AI/ML applications.
The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.
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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 AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
As a Python Software Engineer at Trumid, you will develop and maintain scalable software for analytics and trading operations, collaborate with other engineers and machine learning teams to optimize real-time systems, and mentor junior engineers in a fast-paced, innovative environment.
The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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