Top AI Research Jobs in NYC, NY

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and deployment. Collaborate with data scientists, engineers, machine learning specialists, and product managers to deliver scalable AI-powered products. Research emerging methods, translate technical findings into business outcomes, develop platform and solution code, and contribute to technical reports or conference submissions. The role focuses on large deep learning models, optimization, fine-tuning, robustness, explainability, and research agenda ownership.

Conduct applied AI research and develop foundation models from design through training, evaluation, validation, and production deployment. Lead research initiatives spanning large-scale deep learning, language models, optimization, fine-tuning, robustness, and explainability. Partner with data scientists, engineers, and product managers to translate research into scalable AI products, while guiding junior researchers and advancing research agendas.

Conduct deep AI and quantitative research for electronic trading by pre-training Transformer and time-series foundation models on large-scale market data. Develop representations, objectives, architectures, distributed training methods, evaluation protocols, and model-serving components. Fine-tune models for alpha generation, pricing, market making, execution, and risk management while studying scaling laws, transferability, robustness, data efficiency, latency, and economically meaningful trading outcomes.

The Director of AI/Agentic Experience Strategy leads AI-driven customer lifecycle strategies, facilitates AI experience design, and collaborates across teams to enhance consumer interactions in financial services.

Conduct applied AI and machine learning research spanning multimodal intelligence, recommendation, ranking, prediction, foundation models, agents, and decision-making. Define research problems, evaluate and develop models using proprietary data, run rigorous experiments, create training signals and evaluations, and transition successful approaches into production systems. Collaborate with engineering and product teams while shaping the company’s research agenda and technical standards.

Conduct an end-to-end AI research project with Datadog AI Research and Carnegie Mellon University. The intern will frame problems, train and evaluate models using GPUs and large-scale data, run experiments, collaborate with DAIR mentors and a faculty advisor, publish findings, and potentially transition successful research into production systems.

Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.

The Senior Applied Scientist will develop and optimize algorithms for evaluating healthcare providers, focusing on quality, cost, and access, and will work closely with engineering to implement scalable solutions.

As an AI Strategist, you will drive strategic deployment and growth of Hebbia’s AI platform in top financial institutions, leveraging domain expertise and client relationships.