软件工程师，AI专家 - 商业化

Meta（Meta Platforms）岗位：Software Engineer, AI Specialist - Monetization (Technical Leadership) Responsibilities

Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale

Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability

Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science

Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy

Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures

Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput

Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics

Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness

Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain

Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact

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

12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments

Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale

Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals

Experience identifying and resolving systemic engineering issues that span multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures

Experience communicating complex AI system designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership

Experience applying AI and automation tooling to eliminate categories of engineering toil and measurably improve team-level or organization-level engineering efficiency

Contributions to peer-reviewed AI or systems research (e.g., NeurIPS, ICML, ICLR, MLSys, OSDI) or demonstrated track record of translating research advances into production AI systems

Experience with large-scale model training optimization, distributed training frameworks, or inference efficiency techniques such as quantization, distillation, or speculative decoding

Experience defining and operationalizing privacy-preserving or safety-aware AI system designs in collaboration with policy, legal, or compliance stakeholders

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.

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

12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments.