Partner Engineer, Scaled Ops AI Acceleration Team

Partner Engineer, Scaled Ops AI Acceleration Team

Join to apply for the Partner Engineer, Scaled Ops AI Acceleration Team role at Meta

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Meta is seeking experienced Partner Engineers to join the Scaled Operations AI Accelerator Team. This team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency  a Partner Engineer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and directing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations.

• Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processes
• Rapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologies
• Collaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needs
• Apply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systems
• Oversee and guide contractor workers and/or vendor workers in the development and delivery of technical solutions, ensuring quality, compliance, and alignment with team objectives
• Ensure all solutions adhere to Meta’s security, privacy, and compliance requirements
• Communicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiences
• Stay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvement
• Contribute to the development of playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
• Track, analyze, and report on key metrics and business impact of automation initiatives

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of experience in software engineering, support engineering, reliability engineering, or related fields
• 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical field
• Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
• Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc
• Experience in communicating with technical and business audiences and technical documentation
• Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
• Experience guiding and directing contractor workers and/or vendor workers in technical solution delivery
• Demonstrated ability to collaborate across cross-functional teams and deliver results in a demanding environment

• Experience with Meta’s internal tools and platforms
• Familiarity with Global Operations processes and workflows
• Advanced degree in Computer Science, Engineering, or related field
• Experience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners

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 Whats App 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…