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Top Machine Learning Jobs in NYC, NY
As a Machine Learning Scientist specializing in Natural Language Processing, you will leverage advanced machine learning techniques to tackle complex challenges and enhance products. Responsibilities include researching new methods, developing machine learning models, collaborating with diverse teams, and promoting firm-wide initiatives.
As a Machine Learning Engineer, you will analyze complex datasets, lead the development of machine learning models, enhance systems, and ensure efficient deployment of software while communicating risks and fostering cross-functional collaboration.
As a Sr. Machine Learning Engineer, you will lead the analysis of complex datasets and the development of machine learning models to enhance products. Responsibilities include overseeing ML Ops, ensuring efficient code deployment, and communicating insights to stakeholders.
As a Machine Learning Strategist, you will develop AI/ML products and business opportunities within JPMorgan's Machine Learning Center of Excellence, integrating technical and business strategies to enhance decision-making and financial impact across the firm.
As a Machine Learning Scientist specializing in NLP at JPMorgan Chase, you will research and develop machine learning models for various complex tasks including NLP, speech analytics, and recommendation systems. Collaborating across teams, you'll help deploy AI solutions and contribute to firm-wide initiatives using deep learning methodologies.
As a Machine Learning Scientist specializing in Speech AI and NLP, you will develop and productionize high-performance machine learning models, collaborate across JPMorgan's business lines to deliver impactful software solutions, and implement scalable data processing pipelines to optimize business results.
As a Senior Machine Learning Engineer, you will deploy AI and ML solutions, consulting with stakeholders to define project requirements, analyze data, and manage the execution of projects. You will also explore emerging technologies and improve business decisions through data-driven insights.
As a Senior Data Scientist in the Consumer Identity Machine Learning team at Capital One, you will analyze vast datasets to develop machine learning models that personalize customer experiences and improve operational effectiveness. You will work across all phases of the data science lifecycle, partnering with various teams to drive innovations in data analytics and machine learning applications, ensuring the accuracy of customer data and enhancing fraud detection efforts.
Featured Jobs
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 Lead Machine Learning Engineer will drive the development of advanced ML models optimizing ad serving for yield and performance. This role involves collaborating with multiple teams to create impactful ML projects, maintaining ML pipelines, and mentoring junior engineers.
The Senior Associate Machine Learning Scientist in NLP will apply advanced machine learning techniques, particularly in NLP and deep learning, to develop models for real-world applications. Responsibilities include collaboration with teams, conducting research, and driving initiatives to deploy scalable machine learning models.
As a Senior Software Engineer focusing on Machine Learning Operations, you will lead the design and implementation of MLOps pipelines, manage monorepos, and enhance system observability. Collaborate with data scientists and other teams to develop and deploy robust machine learning models while mentoring peers and promoting best practices in coding.
The Machine Learning Engineer will focus on optimizing personalization and recommendations for Peloton members by implementing and improving ML pipelines, evaluating machine learning models, conducting A/B tests, and collaborating with cross-functional teams to enhance user engagement through personalized content experiences.
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 Summer Associate in the Machine Learning Center of Excellence, you will conduct independent research, develop state-of-the-art machine learning models in areas like NLP and speech recognition, and collaborate with various teams to deploy solutions. The role offers hands-on experience and mentorship, aiming to impact JPMorgan's business outcomes directly.
As an Applied AI Modeling Lead, you will leverage deep natural language processing and machine learning to develop large-scale solutions in the banking sector. You'll analyze data, generate insights, and coach junior team members, contributing to the full product life-cycle and acting as a subject matter expert.
As a Vice President in the Machine Learning Scientist - NLP team, you will use advanced machine learning techniques on tasks like NLP and speech analytics. Responsibilities include collaborating with partners to deploy solutions and developing large-scale frameworks for machine learning applications across the firm.
As a Machine Learning Scientist focusing on NLP, you will research and develop machine learning models for various tasks, collaborate with cross-functional teams, and drive initiatives to apply ML solutions across the firm. You should demonstrate a strong passion for ML and the ability to communicate complex technical concepts effectively.
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.
As a Senior Machine Learning Engineer at Rokt, you will design and produce machine learning models for business challenges like user targeting and content generation. You'll collaborate with engineering and product teams, work on projects involving deep learning and generative AI, maintain code quality, and mentor teammates.
As a Machine Learning Infrastructure Engineer at Peloton, you will support ML development by creating scalable infrastructure solutions, collaborating with ML teams, and developing tools for ML model management, deployment, and experimentation.
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.
As a Staff Software Engineer - MLOps, you will lead the design and development of scalable MLOps pipelines, oversee monorepo management, implement monitoring frameworks, improve data science platforms, and ensure high-quality coding practices. You will collaborate with data scientists and mentor team members, focusing on system health and efficient deployment of models.
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As a Senior Machine Learning Engineer, you will lead data projects to develop and enhance machine learning products, integrate AI technologies, evaluate algorithms, and maintain ML pipelines. You’ll mentor junior engineers and collaborate with cross-functional teams to drive company-wide policies in AI applications.
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