3 days ago
Base Salary
$184k - $257k/yr
Responsibilities
- Define and deliver ML engineering projects improving ads ranking or retrieval from problem framing through production rollout.
- Develop models and supporting software and use data analysis to diagnose quality issues and evaluate alternatives.
- Partner with infrastructure and ML engineers on data, feature, and serving dependencies.
- Design offline evaluations and online experiments for ad relevance, advertiser outcomes, and system performance.
- Lead technical decisions and cross-functional execution for complex projects.
- Improve production quality through testing, code review, monitoring, and model-lifecycle iteration.
- Mentor engineers and support new team members' ramp-up.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Demonstrated experience driving organizational change and leading complex technical projects.
- 8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Preferred: experience developing and deploying ML models for advertising, ranking, retrieval, recommendation, or comparable large-scale prediction systems.
- Preferred: experience with information retrieval, optimization, offline analysis, online experimentation, and production serving dependencies.
- Preferred: experience with PyTorch, TensorFlow, or Scikit-learn and integrating models into production software.
- Preferred: experience applying responsible AI practices, AI development tools, prompt/context engineering, agent orchestration, and emerging AI technologies.
Benefits
- Bonus, equity, and benefits are included in the compensation package.
Tech Stack
Categories
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.