Business Support Engineer
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer togetherAs a Business Support Engineer, you will understand industry trends, our partner's network evolution roadmap and its implication to our product roadmap. You will work closely with other regional offices and partnership teams and support a broad range of partners across the globe to integrate AI for business products into their offering.Business Support Engineer Responsibilities
- 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
- Provide 24/7 on-call support coverage via rotation schedule (including weekends)
- 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, anticipating 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 road blocks,stop pieces of work and/or reprioritize resources
- 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 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 with technical and business audiences and creating technical documentation
- 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
$141,000/year to $197,000/year + bonus + equity + benefits
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.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
Tags: APIs Claude Computer Science Data Mining Distributed Systems Docker Engineering Generative AI GPT JavaScript Kubeflow Kubernetes LLaMA LLMs Machine Learning ML infrastructure Model training NLP Open Source PHP Physics Python PyTorch React VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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