AI Developer Velocity Tech Lead (ML Infra)

Sunnyvale (CA)

On-site

USD 271,000 - 347,000

Full time

14 days+

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Job summary

Meta in Sunnyvale is seeking a Senior Tech Lead for the Ads AI Infra organization to drive the technical direction of AI developer velocity and architect AI agent systems that scale for model development across the ads stack.

You will lead development of cutting-edge AI/ML training technologies enabling ML engineers to train, scale, and productionize cross-cutting ML techniques. You will mentor engineers and partner with managers to align priorities and communicate progress to leadership.

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Deep and broad software engineering experience with a focus on machine learning infrastructure, developer tooling, or large-scale AI platform development.
Experience architecting and shipping AI infrastructure at scale that serves as a multiplier for other teams to drive impact.
Track record of defining technical strategy and driving cross-organizational alignment in developer experience or ML infrastructure.
Experience leading and mentoring engineers on complex technical projects.
Experience with large-scale system design, compilers, or build systems.

Responsibilities

Drive the technical direction and strategy of AI Developer Velocity efforts across the Ads Ranking AI organization.
Architects and evolve AI agent systems for model architecture research and development, including model, feature authoring agents and ML development ecosystem assistants.
Lead development of state-of-the-art AI/ML training technologies that enable ML engineers to train, scale, and productionize cross-cutting ML model techniques.
Champion Developer Voice by building tools and infrastructure that improve velocity and efficiency for ML engineers across the organization.
Define big-picture strategy for developer experience improvements and operationalize it into tactical execution plans.
Undertake ambitious technical projects in AI/ML infrastructure, compilers, build systems, and large-scale system design.
Mentor and lead engineers across the organization in ML infrastructure and developer tooling.
Partner with engineering managers and cross-functional partners to align on priorities and drive execution.
Present complex technical details in an intuitive and understandable way to leadership