Senior Machine Learning Engineer, Public Sector

Scale AI; United States; A distancia; USD 150.000 - 185.000; Jornada completa

Descripción de la vacante

Scale AI is seeking a Senior Machine Learning Engineer to advance government systems through generative AI, computer vision, and reinforcement learning. You will own end-to-end design and delivery of agent capabilities, including architecture and implementation.

Collaborate with product and research teams to identify high-impact initiatives and build scalable ML infrastructure. Clear communication of complex ideas to non-technical stakeholders will be essential to drive successful government

Formación

• Experience building and deploying production ML systems.
• Ability to collaborate with product and research teams to drive impact.
• Excellent communication skills for non-technical stakeholders.

Responsabilidades

• Design and deliver agent capabilities end-to-end (architecture and implementation).
• Architect scalable ML infrastructure to support government projects.
• Collaborate with product and research teams to define and execute high-impact initiatives.

Conocimientos

Generative AI

Computer Vision

Reinforcement Learning

Production ML

ML Infrastructure

Herramientas

TensorFlow

PyTorch

Ray

Descripción del empleo

Scale AI is seeking a Senior Machine Learning Engineer to enhance government systems using generative AI, computer vision, and reinforcement learning. Candidates should have extensive experience in production ML systems and a strong background in AI technologies.

In this role, you will be responsible for the end-to-end design and delivery of agent capabilities, including architecture and implementation. You'll leverage state-of-the-art models to create impactful solutions for government clients, ensuring that ML systems are robust and effective.

You will collaborate closely with product and research teams to define and execute high-impact initiatives, while also building scalable ML infrastructure. Your ability to communicate technical concepts to non-technical stakeholders will be essential for driving projects to success.