Top Generative AI Jobs in NYC, NY

As a Contract Equity Researcher, you will utilize equity research expertise to design and improve generative AI tools for financial analysis, producing high-quality outputs and collaborating with teams at Kensho to enhance model performance and accuracy.

Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.

As a Senior Manager, Data Scientist, you will lead a team to develop generative AI solutions and build machine learning models, enhancing customer experiences and operational efficiency.

The PharmSci Agentic & Generative AI Architect designs and scales AI solutions for Pharmaceutical Sciences, ensuring production-readiness and effective integration with existing platforms. Responsibilities include architectural design, leading pilots, and implementing responsible AI frameworks while mentoring team members.

As a Principal Associate Data Scientist at Capital One, you will develop generative AI-based solutions, collaborate with cross-functional teams, and build machine learning models to derive insights from large data sets.

The role involves developing generative AI tools for financial modeling and transaction analysis, leveraging investment banking expertise without client-facing responsibilities.

As a Director, Data Scientist - Generative AI Systems, you will lead a team to develop AI products using NLP and generative AI technologies, partnering with cross-functional teams. Your role involves leveraging open-source programming and machine learning to convert customer data into actionable insights and enhance customer interactions with financial services.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

As a Software Engineer focused on generative AI, you will design scalable AI services, optimize APIs, and collaborate with cross-functional teams to enhance enterprise-wide transformation.

As a Senior ML Engineer, you will lead the design and operation of GenAI solutions, focusing on LLM development and deployment, mentoring colleagues, and collaborating with cross-functional teams to enhance AI capabilities for the insurance sector.

The Senior Staff Generative AI Engineer role focuses on architecting and building generative AI applications and systems, leading automation efforts, and fostering engineering excellence while mentoring junior engineers.

Review text prompts and AI-generated videos to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Add concise annotations, perform self-QA, participate in calibration, document recurring model failures, and meet throughput and quality targets using structured annotation platforms.

Review text prompts and AI-generated video clips to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Create concise annotations, perform self-QA, follow project guidelines, attend calibrations, and document recurring issues while meeting throughput and quality targets.

Perform detailed annotation, labeling, and quality assurance on text, image, video, and multimodal datasets for generative AI. Evaluate prompts/responses, refine guidelines, identify edge cases, support data workflows, and collaborate to improve dataset and model quality.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

Interact with generative AI models to create and evaluate prompts, identify safety failures, document model breakability and failure points, review multimodal content, apply safety taxonomies, perform high-volume annotation sprints, participate in calibration and quality reviews, and flag unclear guidelines or tooling issues.

The AI Platform Engineer will design and deploy generative AI platforms, manage infrastructure, and ensure scalability, while collaborating across teams for continuous improvement.

This role involves leading AI prototyping efforts, technical advisory for AI partners, and delivering scalable enterprise AI systems while mentoring team members.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

The AI Analyst will research and implement AI solutions to enhance products and workflows, collaborating with cross-functional teams and supporting AI integration across the organization.

The Senior Software Engineer will design and implement Generative AI solutions, collaborate with teams, enhance AI applications, and mentor others in best practices.

The AI Engineer role involves developing generative AI agents, LLM services, and APIs, focusing on intent detection and context engineering in a fast-paced environment.

The Senior Data Scientist, Generative AI will develop and deploy ML models, improve data quality frameworks, and collaborate across teams to enhance AI-driven products for music and TV.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.