Top Machine Learning Jobs in NYC, NY

The role involves model validation, monitoring AI model performance, challenging model developers, and translating technical requirements into practical evaluations and controls for AI and ML models.

As a Senior Lead AI Solutions Consultant, you will drive revenue through the adoption of BrazeAI tools, managing technical discussions, running proofs-of-concept, and educating clients on AI concepts.

Lead vision, strategy, and delivery of AI across Pfizer's U.S. commercial organization. Own a prioritized portfolio from concept to production and adoption, build and lead multidisciplinary teams, manage vendors and budgets, ensure shared platforms, standards, governance, and responsible AI, and influence senior leaders to drive enterprise-scale transformation and measurable business value.

As an AI Product Specialist, you will define strategies for market expansion and revenue growth of AI-powered solutions, integrating technical understanding with market leadership.

Join Celonis' 12-month Orbit program to consult with customers, prototype AI and ML/LLM solutions on the Celonis platform using SQL and PQL, run proofs of concept, present value to executives, and collaborate with product, implementation, and partners to realize customer value.

The role involves building machine learning models, data analysis, and partnering with various teams to enhance customer experiences in financial services.

Develop, validate, and implement machine learning models using big-data tools and cloud platforms. Partner with engineers and product managers to translate analytics into production products, analyze large numeric and textual datasets, and communicate findings to drive business decisions for commercial banking portfolio forecasting.

The Director will create and manage an advanced learning agenda for AI and data capabilities, focusing on technical skill development for engineers and data scientists, ensuring alignment with real-world applications and industry needs.

The AI Engineer will focus on building AI experiences, deploying models, and enhancing data workflows, working on greenfield applications. Key responsibilities include feature development, architecture collaboration, and shipping impactful product experiences.

The AI Researcher will conduct advanced research in Generative AI and Machine Learning, develop specialized models for observability and code repair, and collaborate with product teams to integrate findings into Datadog's offerings.

Lead evaluation strategy for Datadog Dashboards' AI-native system: define metrics, build eval datasets and regression harnesses, measure retrieval and tool-selection, reduce cost/latency, and provide technical leadership and cross-team mentorship to ensure production-quality agent behavior at scale.

Lead Gusto's AI/ML strategy, managing teams in Machine Learning Engineering, AI, and Risk Data Science. Ensure systems are reliable and impactful while fostering a culture of technical excellence.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

In this role, you will develop AI foundation models, perform applied research, collaborate with cross-functional teams, and leverage advanced technologies to enhance customer experiences in banking.

The role involves leading the development of AI systems for credit analysis, managing a credit knowledge graph, and directing quantitative modeling for credit risk, while ensuring collaboration across teams and innovation in systems architecture.

The Director of AI Search leads New York Life's AI Search strategy, overseeing AI acquisition strategies and driving AI innovation in marketing experiences. The role requires collaboration across functions to optimize content for AI discoverability and define future-state AI experiences while maintaining compliance and stakeholder alignment.

Lead data science projects to advance drug development, implementing models for patient selection and clinical trial optimization, and collaborating with cross-functional teams.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The role involves managing client needs through technology solutions, mentoring team members, analyzing complex problems, and using AI/GenAI to enhance productivity and client relationships.

Lead a team in developing AI and ML models focusing on detection and text intelligence. Collaborate with product managers and support team development for impactful AI features.

Lead the development of large-scale recommendation systems at Snap, overseeing technical leadership, collaboration across teams, and implementation of machine learning strategies to enhance content discovery and personalization.

As a Senior Applied AI Data Scientist, you will leverage machine learning to transform clinical data into high-quality research datasets and collaborate with stakeholders on model validation and insights generation.