Partner Engineer, Scaled Ops AI Acceleration Team

6 days ago

Austin, Texas, United States Meta Full time $120,000 - $200,000 per year
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 directing 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
  • 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
Minimum Qualifications
  • 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
  • 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
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

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