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 at scale. As a Partner Engineer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and managing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations. Partner Engineer, Scaled Ops AI Acceleration Team Responsibilities:Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processesRapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologiesCollaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needsApply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systemsManage and guide contractor workers and/or vendor workers in the development and delivery of technical solutions, ensuring quality, compliance, and alignment with team objectivesEnsure all solutions adhere to Meta's security, privacy, and compliance requirementsCommunicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiencesStay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvementContribute to the development of playbooks, reusable templates, and best practices to scale successful automations across Scaled OperationsTrack, analyze, and report on key metrics and business impact of automation initiativesMinimum Qualifications:8+ years of experience in software engineering, support engineering, reliability engineering or related6+ 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 fieldBachelor's degree in Computer Science, Computer Engineering, related technical field, or equivalent experienceExperience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management supportKnowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etcExperience in communicating with technical and business audiences and creating technical documentationExperience assessing, analyzing, and resolving operational issues using data analysis (SQL)Experience overseeing and guiding contractor workers and/or vendor workers in technical solution deliveryDemonstrated collaborate in cross-functional teams and deliver results in a demanding environmentPreferred Qualifications:Experience with Meta's internal tools and platformsFamiliarity with Global Operations processes and workflowsAdvanced degree in Computer Science, Engineering, or related fieldExperience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partnersAbout Meta: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. 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.