Poolside

Member of Engineering (Evaluations) at Poolside, building evaluation infrastructure and benchmarks for large language models. Focus on designing metrics and tooling for base and instruction-following models used by research and product teams.

Forward Deployed Research Engineer at Poolside building agentic systems for enterprise customers. Combines software engineering, applied AI research, and product work to deploy high-reliability AI systems in the field and feed signals back to core R&D.

Member of Engineering (Pre-training / Data Engineering) at Poolside building high-performance data pipelines for foundation model training. Responsible for ingestion, deduplication, and streaming systems handling petabyte-scale data to fuel model development.

Member of Engineering (Pre-training / CUDA) at Poolside building distributed training infrastructure for large language models. Focus on custom kernel development, performance optimization, and scaling training runs across thousands of GPUs.

Member of Engineering at Poolside focused on pre-training and synthetic data generation for coding models. Role involves designing large-scale data pipelines, collaborating with research and product teams, and optimizing dataset quality for training frontier models.

Member of Engineering (Agent Harness) at Poolside building core agent frameworks and runtime environments for AI coding agents. Focus on scalable, secure orchestration systems for enterprise deployment.

Member of Engineering (Pre-training / Data Research) at Poolside, building high-quality datasets for training frontier LLMs and coding agents. Focus on data curation, synthetic generation, and pipeline optimization at scale.

Member of Engineering (Evaluations) at Poolside building a scalable self-serve evaluation platform for frontier model research and development. Design Python frameworks and distributed pipelines to power experimentation and benchmarking at scale.

Member of Engineering (Scalability) at Poolside building distributed training and inference infrastructure for large language models. Focus on fault tolerance, checkpointing, and GPU reliability at scale.

Data Platform Lead at Poolside, an AI-focused company building agentic coding assistants. Lead a team building high-throughput data pipelines and infrastructure for large-scale model training and experimentation.

Full-stack engineer at Poolside building the Console control plane for enterprise AI deployments. Focus on backend APIs, observability, and frontend UI for managing agentic systems in production environments.