Member of Technical Staff
Core
Design post-training systems and methodologies for frontier models, translating research needs into production-quality implementations and evaluation frameworks.
Role type
Senior IC machine-learning engineer (post-training & evaluation)
Builds
Evaluation frameworks, benchmarks, training environments, data-processing pipelines, and quality-control systems for frontier models
Domain
Artificial Intelligence / Large Language Models / Machine Learning
Deliverable
production ML models
Required skills
post-training, supervised fine-tuning, reinforcement learning, reward modeling, Python, PyTorch, experimental design, system design, tradeoff analysis
Preferred skills
large-scale ML training, LLM benchmarks, data-quality frameworks, synthetic data, human-in-the-loop systems, published research, open-source contributions, technical leadership
Technologies
PyTorch, Python
Responsibilities
Design post-training systems and methodologies; Build evaluation frameworks and benchmarks; Run rapid iteration loops by prototyping and evaluating; Partner with researchers to develop high-signal data and evaluation methods; Identify patterns and productize them into reusable platforms; Raise technical standards through design and mentorship
Seniority
Senior, hands-on IC
