**Summary:**

As part of the Ads AI Infra organization, our organization develops state-of-the-art AI/ML training technologies, enabling ML engineers to train, scale, and productionize cross-cutting ML model techniques. We are an engineering team with a strong hybrid ML and infrastructure skill set, dedicated to solving cross-layer and end-to-end ML infrastructure problems in the ads stack. A key focus in this area is to improve velocity and efficiency for one of our most critical resources: machine learning engineers. This is a focus for the Ads-wide AI Modeling Velocity program. We are looking for a Senior TL who is committed to being the champion for Developer Voice and driving the latest advancements in of large scale AI and ML infrastructure – you are excited about the transformative changes AI Agents will bring to software development!

**Required Skills:**

Ads ML Developer Experience Tech Lead Responsibilities:

1. Drive the technical direction and strategy of AI Developer Velocity efforts across the Ads Ranking AI organization

2. Architects and evolve AI agent systems for model architecture research and development, including model, feature authoring agents and ML development ecosystem assistants

3. 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

4. Champion Developer Voice by building tools and infrastructure that improve velocity and efficiency for ML engineers across the organization

5. Define big-picture strategy for developer experience improvements and operationalize it into tactical execution plans

6. Undertake ambitious technical projects in AI/ML infrastructure, compilers, build systems, and large-scale system design

7. Mentor and lead engineers across the organization in ML infrastructure and developer tooling

8. Partner with engineering managers and cross-functional partners to align on priorities and drive execution

9. Present complex technical details in an intuitive and understandable way to leadership

**Minimum Qualifications:**

Minimum Qualifications:

10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

11. Deep and broad software engineering experience with a focus on machine learning infrastructure, developer tooling, or large-scale AI platform development

12. Experience architecting and shipping AI infrastructure at scale that serves as a multiplier for other teams to drive impact

13. Track record of defining technical strategy and driving cross-organizational alignment in developer experience or ML infrastructure

14. Experience leading and mentoring engineers on complex technical projects

15. Experience with large-scale system design, compilers, or build systems

**Preferred Qualifications:**

Preferred Qualifications:

16. Experience with PyTorch or similar ML frameworks at production scale

17. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

19. Track record of data-driven innovation in spaces where there are no existing clear answers

20. Experience with AI agents, developer productivity tools, or machine learning platforms

21. Experience driving adoption of relatively immature technologies to maturity and greater impact

22. Contributions to developer tooling, ML infrastructure open-source projects, or published work in related areas

23. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

**Public Compensation:**

$271,000/year to $347,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.