Top Machine Learning Jobs in NYC, NY

As a Principal Scientist, you will lead predictive modeling and applied AI efforts to enhance cancer care. Responsibilities include design, development, and validation of advanced modeling solutions, client engagement, training, and representing the organization at scientific forums.

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.

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.

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 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 Director of Data Science leads data science and machine learning initiatives for the Commerce Media platform, aligning strategies with business objectives, overseeing model development, and ensuring best practices in data science processes.

Contribute to product and growth by designing experiments, building predictive models and data pipelines, measuring product engagement, and presenting results to leadership. Collaborate cross-functionally to define metrics, deploy ML solutions, and improve data science practices.

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

Lead MongoDB's internal data product portfolio, focusing on GTM, analytics, and self-serve data capabilities while managing a team of Product Managers.

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.

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.

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

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.

Contribute to machine learning model design, training, and evaluation for fraud detection. Communicate findings, develop metrics, and support production ML workflows while ensuring compliance and model governance.

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.

The Director of AI Engineering leads AI transformation in Vaccine R&D Operations by designing solutions for process automation, decision support, and model governance. Responsibilities include developing predictive models, optimizing workflows, and building production-grade AI platforms while collaborating across teams.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

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

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

The Senior Scientist II will lead AI-driven projects in oncology, developing agentic frameworks and predictive models while collaborating with teams and pharma partners.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.