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.
Responsibilities
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
Manage 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
Minimum Qualifications
8+ years of experience in software engineering, support engineering, reliability engineering or related
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
Bachelor's degree in Computer Science, Computer Engineering, related technical field, or equivalent experience
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 creating technical documentation
Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
Experience overseeing and guiding contractor workers and/or vendor workers in technical solution delivery
Demonstrated collaborate in cross-functional teams and deliver results in a demanding environment
Preferred Qualifications
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