Meta is seeking experienced Software Developer to join the Scaled Operations AI Accelerator Team. This small team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Software Developer, 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
Full stack development. 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, relevant technical field, or equivalent practical experience
• 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 supporting 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 adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 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
