Top Tech Jobs & Startup Jobs

Lead high-impact initiatives for Scale's Generative AI unit: own customer pipelines, design data taxonomies, build pipeline infrastructure and analytics, manage and coach global teams, partner cross-functionally, and report progress to executives to drive revenue and model improvements.

Build and operate core retrieval and knowledge representation systems for a generative AI platform: design RAG pipelines, embeddings, indexing, vector-store integrations, knowledge graphs/ontologies, evaluation frameworks, and production ML backend services while collaborating across product, ML, and infra teams and shipping enterprise-grade features.

Lead strategic initiatives for data collection projects to drive revenue, ensure operational efficiency, and manage diverse global teams.

The Product Engineer will build and maintain data processing pipelines and evaluate robotics and AV data systems while working closely with 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.

The Associate General Counsel, Product and Privacy will manage legal risks in product development, develop legal functions for privacy and product, and ensure compliance with privacy laws while collaborating with cross-functional teams.

The AI Applications Ops Lead will design and maintain production AI applications, ensuring their reliability and performance across international government agencies while bridging technical insights to officials.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.

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.