Teams at Goaly

Serve as Goaly’s first Developer Relations Engineer, combining hands-on ML infrastructure engineering with technical advocacy. Build post-training benchmarks, open-source tools, integrations, documentation, demos, and educational content. Lead distribution across social platforms and technical communities, present at industry events, support design partners, gather product feedback, build practitioner communities, and measure developer adoption, inbound opportunities, and hiring impact.

Own the research-engineering loop for turning base models into capable, reliable agents. Design RL environments, training and evaluation data, post-training experiments, reward systems, and regression suites. Analyze model behavior, diagnose reward hacking and other failures, improve distributed training and rollout infrastructure, and translate successful research into reproducible production pipelines. The role requires strong Python and software-engineering skills, modern language-model experience, deep-learning knowledge, and reinforcement-learning intuition.

Own the lifecycle of distributed accelerator clusters, including provisioning, upgrades, networking, security, observability, recovery, and decommissioning. Build control-plane services and infrastructure automation, improve fleet reliability and scalability, establish operational metrics and SLOs, and lead incident response. Partner with cloud, hardware, networking, storage, security, and AI engineering teams to operate dependable infrastructure for training, inference, and other communication-intensive workloads.