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.
Training and deploying large-scale language and multimodal models on distributed compute infrastructure
Designing and executing model post-training workflows including supervised fine-tuning, preference alignment, and reinforcement learning
Curating, generating, and filtering high-quality training datasets at scale across multiple modalities
Developing robust evaluation frameworks and benchmarks for model capabilities
Optimizing training and inference pipelines for performance and efficiency under production constraints
Translating customer requirements into concrete technical specifications and modeling approaches
Building and maintaining large-scale data processing pipelines and infrastructure
Designing ablation studies and experiments to understand architectural and algorithmic tradeoffs
Implementing custom neural network layers, loss functions, and distributed training code
Architecting multimodal systems that integrate text, vision, audio, and video understanding
Developing safety and alignment techniques for language models and agentic systems
Building systems for model-based planning, reasoning, and inference-time computation
Creating synthetic data generation pipelines to augment training sets
Developing evaluation frameworks that measure real-world model impacts and risks
Designing self-supervised learning approaches for continuous, high-dimensional data
Communicating complex technical concepts to diverse audiences including non-technical stakeholders
Taking end-to-end ownership of projects from requirements through delivery and iteration
Collaborating cross-functionally across research, engineering, product, and customer teams
Translating business metrics and customer outcomes into technical decision-making
Prioritizing pragmatic, measurable outcomes over theoretical novelty
Working autonomously with minimal guidance while maintaining high code quality standards
Mentoring junior engineers and fostering professional growth
Technology
The tools and technologies that define this role.
Open Jobs
54 open Member of Technical Staff jobs across 22 companies.
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