Software Engineer, Full Stack, Applied AI
Role Overview
Join Meta's Applied AI Engineering organization to advance frontier language models and AI products through practical engineering.
The organization operates with broad scope, light processes, and fast decisions, and works closely with Meta Superintelligence Labs.
Key Skills for This Role
Full Job Posting
Role overview
Join Meta's Applied AI Engineering organization to advance frontier language models and AI products through practical engineering.
The organization operates with broad scope, light processes, and fast decisions, and works closely with Meta Superintelligence Labs.
Responsibilities
- Collaborate across product, design, operations, and infrastructure to build application experiences.
- Implement custom user interfaces and optimize code quality, efficiency, and performance.
- Review peers' code; set team direction, lead initiatives, mentor, and onboard colleagues.
- Architect scalable systems and resolve performance, scalability, and technical debt issues.
- Own components, features, or systems end to end and work across coding languages and technologies.
- Identify model capability gaps and build systems, agentic pipelines, reinforcement learning environments, and evaluations that generate training signals.
Minimum qualifications
- At least 8 years of relevant programming experience, or at least 4 years with a PhD.
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Demonstrated experience driving organizational change and leading complex technical projects.
Preferred qualifications
- 6+ years of relevant experience building large-scale applications or similar experience.
- Experience improving quality through reviews, testing, rollout, monitoring, and proactive changes.
- Experience with one or more of C, C++, Java, Swift, Kotlin, Python, JavaScript, or Hack.
- Experience integrating AI tools into workflows and applying responsible AI practices.
- Ongoing AI skill development, such as prompt or context engineering and agent orchestration.
- Experience solving ambiguous problems and proposing improvements in a fast-moving organization.
- Experience designing synthetic training data or evaluation pipelines, or building AI training data quality controls.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses, including Facebook, Messenger, Instagram, and WhatsApp.
Meta is developing immersive augmented and virtual reality experiences.
Compensation
- Compensation may be stated as a base hourly rate, monthly rate, or annual salary; this posting does not specify an amount or a single cadence.
- Compensation depends on skills, qualifications, experience, and location; benefits may also be offered.
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