Member of Technical Staff
Members of Technical Staff at AI labs drive core breakthroughs in model development by owning critical junctures in the training pipeline—from data strategy and synthetic generation through pre-training, mid-training, and post-training optimization. They combine deep research insight with engineering rigor to inject capabilities across reasoning, coding, mathematics, and multimodal understanding, translating empirical findings into measurable improvements that shape what models can fundamentally do. These roles sit at the intersection of research and systems engineering within small, talent-dense teams, where they work cross-functionally to ensure that raw model intelligence becomes aligned, safe, and deployable at scale—balancing theoretical innovation with pragmatic delivery against real-world constraints.
Skills
What companies are looking for in this role.
Building and iterating on evaluation frameworks and benchmarks to measure model capabilities
Designing and executing machine learning experiments to improve model performance and behavior
Developing reinforcement learning training pipelines and reward modeling systems
Designing and implementing data pipelines for model training at scale
Implementing end-to-end improvements to post-training and fine-tuning stacks
Developing synthetic data generation strategies and pipelines
Optimizing model inference and training infrastructure for performance and cost efficiency
Debugging and diagnosing training instabilities and model failures
Building distributed training systems and infrastructure for large-scale model training
Translating product requirements and user signals into model improvements
Developing data quality assessment and filtering algorithms
Analyzing and optimizing data mixtures and compositions for improved model behavior
Designing agent environments and simulation systems for training and evaluation
Training models to perform complex multi-step tasks and long-horizon planning
Developing agentic model capabilities including tool use, reasoning, and decision-making
Implementing preference optimization and alignment techniques for model behavior
Building multimodal model architectures and training systems
Designing and implementing active learning systems that close data-training loops
Developing context-aware model training and inference strategies
Collaborating cross-functionally with researchers, engineers, and product teams to align model development with business goals
Taking ownership of end-to-end technical problems and driving solutions to completion
Communicating technical concepts and findings clearly to diverse stakeholder groups
Balancing research exploration with pragmatic engineering to ship working systems
Mentoring and coaching junior researchers and engineers on technical thinking and execution
Defining long-term technical strategy and roadmaps for research initiatives
Technology
The tools and technologies that define this role.
Open Jobs
72 open Member of Technical Staff jobs across 24 companies.
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