Meta
Software Developer, Scaled Ops AI Acceleration Team
$171K–$240K
Austin, TX +4 · Full-time · Posted Apr 27, 2026
- Location
- Austin, TX
Menlo Park, CA
Seattle, WA
New York, NY
San Francisco, CA - Experience
- 8+ years in software engineering, support engineering, reliability engineering, or related; 6+ years in one or more specified AI/ML-related areas.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. The posting also lists a Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
About the job
Builds and deploys AI-powered automation to improve operational processes and efficiency across Meta’s Scaled Operations.
What you'll do
- Design, develop, deploy, and maintain automation solutions using full-stack engineering and AI technologies.
- Identify automation opportunities with cross-functional partners, and measure and report business impact.
- Guide contractor and vendor workers and contribute reusable automation playbooks and best practices.
What they ask for
- 8+ years of experience in software engineering, support engineering, reliability engineering, or a related field.
- 6+ years of experience in machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or a related technical field.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React, PyTorch model fine-tuning and optimization, and at least one LLM; SQL; and responsible AI practices.
Nice to have
- Experience with Meta’s internal tools and platforms; familiarity with Global Operations processes and workflows.
- Advanced degree in Computer Science, Engineering, or a related field; experience developing reusable automation playbooks and templates.
Pay
$171,000/year to $240,000/year (base salary)
Tools
REST API, Python, PHP/Hack, JavaScript/React, PyTorch, Llama, GPT, SQL
AI focus
Develop and optimize AI-powered operational automations; fine-tune and optimize PyTorch models and work with LLMs; apply responsible AI practices and continue developing skills in prompt/context engineering and agent orchestration.
Model-written summary · the original posting is authoritative