Top Machine Learning Jobs in NYC, NY

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

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 Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

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.

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

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

Lead vision and roadmap for large-scale recommender systems across Spotlight, Discover, and Friend Stories. Technically lead engineering teams, design next‑generation recommender and retrieval architectures, incorporate SOTA research and foundation models, advance ML infrastructure for scalability and reliability, and partner cross-functionally to drive experimentation, operational excellence, and cost-effective production deployments.

The Senior Machine Learning Engineer will design and implement ML systems, collaborate with data scientists, and enhance analytics capabilities to improve game design and player engagement.

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 Principal AI/ML Engineer, you will lead the development of machine learning solutions for advertising, focusing on optimization, personalization, and deploying models within a highly scalable infrastructure.

The Lead Machine Learning Engineer will design, build, and deploy machine learning models and data pipelines, ensuring high performance and governance of ML applications while collaborating in an Agile environment.

The Lead Machine Learning Engineer designs and implements ML applications, builds data pipelines, collaborates with teams, and ensures performance and governance of ML systems.

The intern will utilize machine learning and statistics to extract patterns from data, implement algorithms, back-test models, and communicate findings effectively.

This role entails using statistics and machine learning to analyze complex datasets, implementing algorithms, and back-testing models. A PhD is required for this position.

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.

Develop scalable ML platform infrastructure, support ML training and deployment, collaborate on software tools for scientists, and enhance workflows and automation.

Hands-on senior data scientist role for PBM analytics to build, deploy, and monitor ML/DL models at scale, perform large-scale SQL analyses on prescription claims, ensure data quality and feature engineering, collaborate with engineering and MLOps to productionize models, communicate results to business leaders, and mentor peers.

The AI/ML Data Contributor will perform data labeling and evaluation tasks, follow project guidelines, ensure quality, and provide feedback. This role involves flexibility in task completion and may include both remote and onsite work.

As an AI/ML Data Contributor, you will label data, evaluate content, test user experiences, and follow guidelines for task completion.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead development, validation and deployment of predictive models and analytics on large GCP datasets. Analyze structured and unstructured data, build algorithms and ML solutions (including LLM/AI integration), perform feature engineering and evaluation, collaborate with business partners to translate insights into provider/network strategies, and present results to stakeholders.

Lead product strategy and execution for AI-driven expert research: translate investor needs into AI workflows, define roadmap, run user research and experiments, collaborate with engineering/design, and drive launches while optimizing accuracy and reliability of LLM/ML outputs.

Lead strategy, design, and delivery of AI and digital products from ideation through scaling. Define roadmaps, integrate AI/ML and data into products, ensure data quality and governance, manage cross-functional teams, monitor KPIs, and ensure ethical, secure, and compliant deployments that drive measurable business outcomes.