Top Tech Jobs & Startup Jobs in NYC, NY

Lead and scale a global ML Research organization focused on frontier generative AI, evaluation, agents, safety, and alignment. Set technical direction, translate research into production solutions, partner with GTM and Fortune 100 customers, manage senior research leaders, and drive cross-functional planning including budget and headcount.

Design, evaluate, and deploy production AI agents that combine LLMs, retrieval, memory, and traditional ML. Build retrieval and memory pipelines, multi-agent systems, evaluation frameworks, and production guardrails. Run experiments and ablation studies, collaborate with infrastructure and enterprise customers, and measure business impact while ensuring reliability, safety, and observability.

Design, evaluate, and deploy production frontier AI agents that combine LLMs, retrieval, memory, tool use, and traditional ML. Build retrieval and memory systems, multi-agent coordination, evaluation frameworks, and production engineering (reliability, observability, safety). Partner with enterprise customers to translate problems into scalable AI architectures and run experiments to measure business impact.

Design, evaluate, and deploy production AI agents combining LLMs, retrieval, memory, and tool use. Build retrieval/memory pipelines, multi-agent systems, evaluation frameworks, and production engineering for reliable, safe enterprise AI deployments while partnering directly with customers.

Design and implement end-to-end features across front-end, back-end, and infrastructure for Scale's Generative AI Data Engine. Build scalable systems using TypeScript, MongoDB, Elasticsearch, and Temporal that handle millions of tasks weekly. Own high-impact revenue-critical systems, collaborate with model and cross-functional teams, and help shape engineering culture and best practices on a hybrid team in San Francisco or New York City.

Lead cross-functional initiatives to drive multimillion-dollar revenue: partner with product and engineering, own data-labeling operations for strategic projects, provide executive updates, and solve high-impact operational and product problems.

Lead corporate and product communications for Scale’s enterprise AI business: craft narratives for product launches, customer and partner announcements, and executive visibility; develop media strategies and press materials; coordinate joint messaging with partners; build reporter relationships; collaborate across legal, policy, marketing, and social; prepare executives for external engagements; run multi-channel campaigns and monitor coverage to refine communications impact.

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.

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

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.