Top Tech Jobs & Startup Jobs

The role involves designing and optimizing distributed training systems for large models to enhance research efficiency and productivity in AI.

Design, build, and operate GPU supercomputing environments, automate large GPU clusters, and collaborate with researchers to optimize performance and resources.

The Software Engineer at Tinker will develop the platform systems for billing, permissions, and data management. Responsibilities include designing authorization layers and managing end-to-end billing infrastructure, collaborating with teams, and ensuring compliance with enterprise requirements.

Design and build infrastructure for scalable reinforcement learning, optimize RL training pipelines, and collaborate with researchers on production-grade solutions.

The role involves designing and optimizing ML kernels for large-scale language model training, collaborating on algorithmic design, and enhancing compute efficiency.

As a Software Engineer, you'll develop and maintain systems for AI models, enhance infrastructure, and collaborate across teams on product development.

Develop architectures and datasets for multimodal AI, run large scale experiments, and publish research to advance understanding of visual perception and reasoning.

The role involves researching and developing new pre-training methodologies for AI, requiring a blend of theoretical exploration and practical engineering. Responsibilities include designing experiments, collaborating on large-scale research, and publishing findings.

The Post-Training Researcher develops post-training recipes, iterates evaluations, debug training configurations, and publishes research to advance AI knowledge.

The role requires designing data collection strategies, developing pipelines for labeling and data generation, and researching human preferences to guide model behavior. Responsibilities include evaluating data quality and scalability, as well as publishing research to advance the AI community.