1 day ago
Base Salary
$219k - $301k/yr
Responsibilities
- Define team goals, technical direction, and roadmaps for AI solutions and LLM-based automation.
- Build and optimize LLM, agentic, evaluation, and AI/ML systems for production use at scale.
- Communicate complex AI systems, including LLM post-training, multimodal understanding, agent harnesses, and agentic platforms, to engineers, partners, and leadership.
- Lead prototyping, technical innovation, and adoption of emerging AI techniques.
- Partner with cross-functional organizations, mentor applied researchers and engineers, and drive end-to-end delivery.
- Identify high-leverage LLM automation opportunities and influence staffing and prioritization.
- Lead long-term technical vision for cross-company AI initiatives focused on cost-efficient and performant models.
- Synthesize partner requirements into roadmaps covering product enablement, autonomous problem-solving, and AI quality scaling.
- Identify and resolve performance, cost, scalability, and technical-debt issues in AI systems.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- 12+ years of programming experience in a relevant language, or 8+ years with a PhD.
- Experience influencing and advising executive stakeholders across organizations.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Experience collaborating with product, design, data science, and other cross-functional partners to define requirements and deliver integrated solutions.
- Proven ability to plan multi-year roadmaps and drive large cross-functional engineering efforts across multiple teams or organizations.
- Knowledge of NLP techniques such as text preprocessing, tokenization, and sentiment analysis.
- Experience with prompt/context engineering, agent orchestration, information retrieval, responsible AI, data structures and algorithms, and production agentive AI systems.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience building large-scale, multi-stage reasoning systems in high-QPS production environments, including LLM post-training through reinforcement learning or fine-tuning.
- Master's degree or PhD in Computer Science or a related technical field is preferred.
Benefits
- $219,000/year to $301,000/year 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.