Top Machine Learning Jobs in NYC, NY

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

The Data Scientist at AirOps will lead the design and deployment of machine learning systems, focusing on NLP and AI-driven content optimization. The role requires collaboration across teams to enhance product capabilities and build strategies that improve search visibility for brands.

Lead the AI Garage to develop and scale AI solutions for Wealth Services. Ensure data readiness, design knowledge graph capabilities, and deliver GenAI applications securely while managing teams effectively.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Lead media science strategy and measurement for client campaigns, manage and mentor data scientists, develop experimentation and optimization approaches, collaborate with media strategists and engineers to productionalize solutions, and communicate insights that drive business outcomes.

The Senior Manager will oversee AI governance, assess risks, and collaborate with data science teams to embed responsible AI practices across the organization.

As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

The Research Scientist will lead hands-on research in Conversational AI, advocate for new AI applications, mentor junior researchers, and contribute to publications.

As a Research Engineer for the Cybersecurity RL team, you'll develop AI models for secure coding and vulnerability remediation, blending research and engineering efforts.

Conduct research in machine learning focusing on AI, develop models, design experiments, collaborate on product ideas, and mentor researchers.

Lead the technical architecture for Spotify's Agent Engine, integrating AI systems and improving agent-based experiences while guiding platform consolidation efforts.

The AI Engineer will design and develop innovative frameworks for trading and research, conducting large-scale experiments and collaborating with a team on foundational models and cloud platforms.

The Director of AI Platform will lead technical vision for Aladdin's AI platform, overseeing AI initiatives, engineering standards, and team development, ensuring responsible deployment of AI solutions.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

As a Lead Machine Learning Engineer, you will design, implement, and optimize ML systems, collaborate with teams, and ensure model performance.

The role involves leveraging data analytics and machine learning for strategic decision-making, developing predictive models, and collaborating with business stakeholders to enhance operational efficiency and innovate practices.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

As a Senior Data Scientist, you'll develop and deploy advanced machine learning solutions, focusing on generative AI, while collaborating with various teams to drive product innovations.

Conduct ML and deep learning research to build, test, and deploy predictive models for trading. Collaborate with traders, researchers, and engineers to engineer features, preprocess data, prototype algorithms, and improve production research tooling to enhance trading performance.

Lead development and deployment of ML models for trading, drive research and prototyping, oversee data and feature engineering, mentor researchers, and build scalable ML research infrastructure.

The role involves designing and deploying AI systems for vaccine discovery, leading predictive modeling, integrating datasets, and mentoring colleagues on AI applications in vaccinology.