Business Support Engineer
Meta
- Provide continuous proactive and reactive engineering support for our business partners that use our AI products, ensuring a high level of satisfaction from our service
- Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta’s Llama and other state of the art Large Language Models (LLM)
- Develop and maintain performance monitoring systems for infrastructure and operations to ensure our business partners’ integrations are highly available
- Develop and troubleshoot large-scale distributed systems that run our business AI infrastructure as well as partner specific integrations that utilize our platform
- Analyze complex datasets for large-scale distributed systems to troubleshoot and improve our systems
- Work directly with Platform and Infrastructure teams to investigate and properly assess reported issues and agree on fixes to be taken for continuous improvements in our products and deployments
- Proactively analyze information to identify specific trends/opportunities and recommend appropriate tactical improvements, anticipate future business needs to improve the overall support experience and share this knowledge across the team
- Consistently deliver constructive feedback to peers in a way that strengthens relationships and enables projects to advance more quickly while motivating and uniting the team to achieve common goals
- Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally
- Effectively evaluate priorities and/or the direction of a certain project when needed by identifying where we can pause, remove roadblocks,stop pieces of work and/or reprioritize resources
- Provide 24/7 on-call support coverage via rotation schedule (including some weekends)
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- 5+ years of experience in software engineering, support engineering, reliability engineering or related field
- 3+ 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 Application Programming Interface (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 and creating technical documentation for business and technical audiences
- Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
- Hands-on experience working with large language models and AI agents
- Experience building cloud solutions on any cloud
- Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
- Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale
- Spanish language skills are a plus
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