Top Tech Jobs & Startup Jobs in NYC, NY

Design and scale multi-cloud infrastructure for an enterprise Generative AI platform. Build integrations with customer cloud/data environments, collaborate with product and customers, deliver experiments to production, and maintain platform reliability and performance.

The Research Scientist will design methods and experiments for AI control and monitoring, focusing on safety and robustness in advanced AI systems. Key tasks include developing monitoring techniques, researching layered control mechanisms, and collaborating with policymakers and industry experts.

The HR Business Partner will support the Gen AI Operations team by providing HR advice, managing people programs, and driving organizational health initiatives. Responsibilities include collaboration with cross-functional teams and use of data to provide insights to leadership.

As a Technical Program Manager, you'll manage planning processes, oversee staffing and resource allocation, and ensure accurate demand forecasting while coordinating operational efforts across key accounts.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

As a Forward Deployed AI Engineering Manager, you will integrate AI with enterprise clients, lead a team to deploy solutions, and ensure successful AI adoption.

Lead the design and operation of scalable backend systems for data generation and delivery, focusing on architecture, reliability, and integration with AI technologies.

The Senior Full-Stack Engineer will develop and scale web applications, manage frontend and backend operations, and work with AI systems and databases to enhance product experiences.

As a Software Engineer for the ARC team, you'll design and implement secure backend systems, manage model inference layers, improve engineering standards, and collaborate with teams to meet government agency needs.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.