Turing

Location: Remote – United States

Minimum qualifications:

Master’s degree in Computer Science, Mathematics or other relevant engineering discipline, or equivalent practical experience.
8+ years of experience and at least 3 years of experience in a leadership role.
Experience with technical innovation within cross-functional engineering environments.
Experience growing and scaling teams, and motivating others by creating a shared sense of purpose.

Preferred qualifications:

Experience with ideation and innovation of technology at scale and passion for development and the use of cross-platform shared code.
Experience building ML infrastructure or products with ML usage.
Experience building software runtimes or intermediate representations of programs in an ML environment.
Experience producing software products and distributed systems.
Understanding of computing, data centers, and enterprise software and hardware infrastructure with technical knowledge.
Ability to balance detailed technical guidance, enabling teams to deliver products that are effective and creating ways to manage data.

Responsibilities:

Identify gaps and whitespaces in the ML journey such as Data Management, Deployment to production, Model Management, and others.
Recruit ML and infrastructure engineers to build a generation of leaders.
Lead the organization through growth and set it up for execution in the presence of growth.
Manage and set the strategy, roadmap, and implementation for multiple areas of focus, balancing short and long-term priorities against various business needs.