广告机器学习开发者体验技术负责人

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

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

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

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

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

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

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

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Take the first step toward a rewarding career at Meta.

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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

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