软件工程师 - AI解决方案与自动化 + 支持

Meta（Meta Platforms）岗位：Software Engineer (Technical Leadership) - AI Solutions and Automation + Support Responsibilities

Drive the team's goals and technical direction for AI Solutions, delivering measurable business impact for priority product verticals and making the larger organization more efficient through LLM-based automation

Effectively communicate complex AI systems (LLM post-training, multi-modal content understanding, agent harnesses and agentic platforms) and their impact to engineers, partners and leadership

Track industry and company-wide AI trends to assess and develop new techniques, fostering innovation, rapid prototyping and technical rigor in pursuit of state-of-the-art performance

Partner with organization and cross-functional leaders, and mentor applied researchers and engineers, to raise the performance of the team and organization and ensure end-to-end delivery of high-quality, scalable

AI/ML systems.

Lead as an AI-native engineer: use AI agents and tools daily in how you design, build and ship, and grow those ways of working across the team

Identify high-leverage opportunities for LLM-based automation across Meta's product portfolio and influence cross-functional partners on staffing and prioritization

Lead the long-term technical vision and roadmap for large, cross-company AI efforts, aligned with the team's mission to deliver cost-efficient, performant AI models

Collect and synthesize requirements from partner teams into an effective roadmap for AI solutions: product enablement for rapid integration, agentic solutions that move from rigid workflows to autonomous problem-solving, and AI quality scaling for specific, complex problems

Identify and resolve performance, cost and scalability issues in AI systems, and drive large efforts to reduce technical debt

12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

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

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Proven track record of planning multi-year roadmaps in which short-term projects ladder to the long-term mission

Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques

Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis

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

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

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

Experience building large-scale, multi-stage reasoning systems in high-QPS production environments, including LLM post-training (e.g., reinforcement learning, fine-tuning) to improve quality and cost

Track record of designing and implementing agentive AI systems and frameworks (e.g., agent harnesses, multi-agent orchestration) in production

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.

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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.

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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.

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12+ years of programming experience in a relevant language OR 8+ years experience with a PhD.

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

Experience influencing and advising executive stakeholders across organizations.