AI and Machine Learning Engineer III
Core
Research and develop AI tokenomics, model routing, and adaptive controllers for hybrid LLM systems to optimize quality, latency, cost, and energy.
Role type
Senior IC machine learning researcher (LLM systems)
Builds
Hybrid LLM systems, routing policies, model cascades, and adaptive controllers
Domain
AI/ML, Large Language Models, Edge-to-Cloud
Deliverable
production ML models
Required skills
deep learning, optimization, probabilistic modeling, reinforcement learning, Python, PyTorch, experimental design, statistical analysis
Preferred skills
token-efficient inference, multi-model serving, sustainable AI, energy-aware computing, causal inference, retrieval-augmented generation
Technologies
PyTorch, Python
Responsibilities
Investigate, design, and implement AI tokenomics research; prototype methods for workload prediction and resource budgeting; develop routing policies and adaptive controllers; build benchmark and simulation environments; conduct controlled experiments and stress tests; prepare papers and patent disclosures.
Seniority
Senior, hands-on IC
