Video AI Engineering Lead

Socket.dev; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google Labs seeks an Engineering Lead to manage and mentor Engineers, guiding architecture and cross-functional projects across information retrieval, AI, NLP, distributed computing, and large-scale systems. You will lead efforts from idea to production while maintaining high performance and scalability.

As an Engineering Lead, you will oversee multiple teams across locations, drive the 0-to-1 life cycle for AI-native products, and translate complex multi-modal tech into robust software.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience with design and architecture; and testing/launching software products.

Responsibilities

• Set and communicate team priorities aligned with the organization's goals.
• Mentor engineers and oversee multiple teams across locations.
• Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams.
• Oversee systems designs within the scope of the area, and review product or system development code to solve ambiguous issues.
• Drive technical project strategy, lead ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Skills

8 years software development

Design & architecture

Education

Bachelor's degree or equivalent

Job description

Google Labs seeks an Engineering Lead to manage and mentor Engineers, guiding architecture and cross-functional projects across information retrieval, AI, NLP, distributed computing, and large-scale systems. You will lead efforts from idea to production while maintaining high performance and scalability.

As an Engineering Lead, you will oversee multiple teams across locations, drive the 0-to-1 life cycle for AI-native products, and translate complex multi-modal tech into robust software.