Top Tech Jobs & Startup Jobs in NYC, NY

As a Senior Software Engineer, you will lead the development of scalable backend systems, manage feature development lifecycles, and engage with stakeholders to translate mission needs into technical requirements while ensuring implementation meets criteria.

Lead the Enterprise ML team, defining research roadmaps, mentoring scientists, communicating research outcomes, and driving impactful AI systems in a fast-paced environment.

The Staff Software Engineer will lead implementations, mentor engineers, define technical strategies, and communicate with stakeholders while enhancing federal engineering capabilities.

The Mission Software Engineering Manager will lead and mentor an engineering team, develop AI solutions for government agencies, and implement required software integrations while ensuring backend systems operate in secure environments.

Lead the technical strategy and execution of Enterprise AI applications, ensuring scalable AI infrastructure and mentoring senior engineers across teams. Drive innovation in AI technologies and represent Scale externally.

This role focuses on advancing reasoning in large language models (LLMs), requiring expertise in data strategy and model evaluation. The candidate will collaborate on research and bring solutions to real-world applications.

Lead a team of research scientists and engineers in machine learning and Generative AI, defining research roadmaps, promoting collaboration, and driving execution from prototyping to deployment.

The Quality Lead will ensure high data quality for Generative AI programs, overseeing operations, team management, and quality improvement initiatives.

As an Engagement Management Lead, you'll manage strategic customer relationships, oversee project delivery, and ensure quality outcomes while navigating complex customer dynamics.

Engagement Managers will be responsible for managing customer relationships, overseeing project execution, and ensuring timely delivery of Scale's products and services while monitoring performance and improving operational efficiencies.