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The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

Drive technical projects for Scale's Public Sector customers focusing on AI/ML, leveraging data and analytics, and fostering customer relations.

The Chief of Staff will support the VP of Marketing and Communications, streamline operations, lead projects, and enhance efficiency. Responsibilities include synthesizing insights, driving collaboration, and preparing executive communications.

The Software Engineering Intern will work on projects to enhance AI applications, focusing on building systems, optimizing algorithms, and improving UI/UX for data visualization.

The internship involves working on machine learning research, focusing on frontier models and advanced training methods, while collaborating with industry and academia.

The role involves developing AI applications, building systems and tools, and ensuring high product quality, particularly for data processing and user experience.

The Product Manager will develop enterprise AI solutions, own product development, and lead cross-functional teams at Scale.

The Technical Program Manager will lead the delivery of AI/ML solutions for public sector customers, manage cross-functional teams, and drive operational improvements while fostering long-term relationships with clients.

As a Technical Program Manager, you will oversee Security and Compliance initiatives, collaborating across teams, managing resources, and ensuring alignment with industry standards.

The Tech Lead Manager will lead a team focused on developing methodologies for LLM evals, conducting research, creating benchmarks, and collaborating with clients and partners.