Top Machine Learning Jobs in NYC, NY

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 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 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 specializing in NLP at JPMorgan Chase, you'll research and implement advanced machine learning models to address real-world challenges. This role involves collaboration across various teams to deploy solutions, with a focus on enhancing business objectives through sophisticated analytics and machine learning methodologies.

As a Senior Associate Applied AI/ML Scientist at J.P. Morgan Payments, you will use AI and ML to enhance payment solutions, develop machine learning models, and analyze data to improve business outcomes. Collaborating with cross-functional teams, you will address payment domain challenges and ensure compliance with regulatory standards.

As a Senior Machine Learning Engineer at Zocdoc, you will develop and optimize algorithms for the Sponsored Results product, enhancing patient and provider experiences. Your role involves collaborating with cross-functional teams, mentoring peers, and iterating on complex problems to drive revenue growth in healthcare. A strong background in building scalable algorithms and a passion for continuous learning are essential.

As a Senior Data Scientist, you will develop customer matching models, analyze large datasets, build machine learning models, and contribute to data-driven decision-making while collaborating with cross-functional teams.

The role involves designing, developing, and deploying AI and machine learning solutions to improve operations. Responsibilities include creating ML models, implementing generative AI applications, collaborating with stakeholders, analyzing datasets, and mentoring junior staff.

As a Senior Manager Machine Learning Engineering, you'll lead an Agile team in building and productionizing machine learning applications. Responsibilities include designing and developing ML models, ensuring high availability, collaborating with cross-functional teams, and utilizing best practices in ML engineering. You'll also leverage cloud-based architectures and manage ML systems to resolve business problems at scale.

The Senior Machine Learning Engineer will lead the development and application of AI/ML techniques to enhance user safety on Hinge, focusing on mitigating bad actors and policy violations. Responsibilities include deploying ML models, designing scalable systems, and collaborating with cross-functional teams to ensure fairness and effectiveness in AI solutions.

The Product Engineer for Machine Learning role involves building scalable ML systems into core Radar products, addressing various challenges like anomaly detection and indoor positioning. The engineer will work with a diverse stack including Python, Rust, and AWS, focusing on enhancing product features through machine learning.

As a Machine Learning Modeler on the Risk team, you will design and implement ML models to mitigate fraud and financial losses while ensuring compliance with industry regulations. You will collaborate with cross-functional teams to develop solutions for risk management throughout the product lifecycle.

As a Machine Learning Engineer at Peloton, you will focus on enhancing NLP/NLU capabilities, working on voice transcription, search algorithms, and building tools for dataset labeling. Collaborate with the team to implement machine learning techniques for personalized fitness content.

As an AI/ML Data Scientist/Engineer, you will design, develop, and deploy AI and machine learning solutions to improve operations. Responsibilities include developing machine learning models, deploying generative AI applications, collaborating with stakeholders, analyzing data, and mentoring junior team members in best practices.

As an AI/ML Data Scientist/Engineer, you will design, develop, and deploy AI and machine learning solutions, working with teams to identify automation opportunities. You'll analyze datasets for insights, ensure model scalability, mentor juniors, and integrate the latest AI/ML advancements into operations.

The Data Science Manager will lead a team in developing customer matching models and entity resolution systems. Responsibilities include collaborating with cross-functional teams to deliver customer-focused products, leveraging a broad technology stack, and managing the full lifecycle of machine learning models from design to implementation.

The Manager, Data Science - Consumer Identity Machine Learning at Capital One will lead the development of machine learning models to personalize customer experiences. Responsibilities include exploring clickstream data, developing predictive models, and partnering with product teams to improve business outcomes. The role entails working with massive data sets, ensuring accuracy, and enhancing operational efficiencies.