2 days ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive team goals and technical direction for AI Solutions, delivering measurable business impact through LLM-based automation.
- Communicate complex AI systems, including LLM post-training, multimodal content understanding, agent harnesses, and agentic platforms, to engineers, partners, and leadership.
- Evaluate industry and company-wide AI trends, develop new techniques, and foster rapid prototyping and technical rigor.
- Partner with organizational and cross-functional leaders, mentor applied researchers and engineers, and ensure delivery of scalable AI/ML systems.
- Identify high-leverage LLM automation opportunities and influence staffing and prioritization across product teams.
- Lead the long-term technical vision and roadmap for large, cross-company AI efforts.
- Synthesize partner requirements into roadmaps for AI integration, autonomous problem-solving, and AI quality scaling.
- Identify and resolve performance, cost, scalability, and technical-debt issues in AI systems.
Requirements
- 12+ years of programming experience in a relevant language or 8+ years of experience with a PhD.
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Experience influencing and advising executive stakeholders across organizations.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Experience communicating and working across functions to drive solutions.
- Proven record of planning multi-year roadmaps connecting short-term projects to long-term missions.
- Experience driving large cross-functional or industry-wide engineering efforts.
- Preferred experience with TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of data structures and algorithms, graph theory, optimization, NLP, information retrieval, and responsible AI practices.
- Experience building large-scale, multi-stage reasoning systems in high-QPS production environments, including LLM post-training through reinforcement learning or fine-tuning.
- Track record of designing and implementing agentive AI systems and frameworks, including agent harnesses and multi-agent orchestration, in production.
- Master’s degree or PhD in Computer Science or a related technical field is preferred.
Benefits
- Annual base salary of $219,000 to $301,000, plus bonus, equity, and benefits.
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.