Member of Technical Staff [Platform]
Responsibilities
- Design, build, and maintain the core infrastructure supporting our research and product environments (cloud compute, storage, CI/CD pipelines, observability, security)
- Develop and manage internal developer tools, automation systems, and shared libraries that accelerate productivity across teams
- Build reliable systems for data management, model experimentation, evaluation, and deployment in both research and production contexts
- Define and evolve our build, test, and release workflows, ensuring seamless integration from prototype to production
- Implement and monitor observability and performance metrics across services and pipelines
- Collaborate closely with research and product teams to diagnose bottlenecks, optimize workflows, and ensure reproducibility of results
- Contribute to infrastructure strategy and architecture, helping shape how we scale as the company grows
Qualifications
- Strong software engineering background with experience in infrastructure, platform, or DevOps engineering
- Proficiency with cloud environments (AWS, GCP, or similar), containerization/orchestration (Docker, Kubernetes), and CI/CD systems (GitHub Actions, Terraform, etc.)
- Experience building and maintaining developer tools, automation frameworks, or internal platforms
- Familiarity with data pipelines, job scheduling, or ML experimentation workflows
- Excellent problem-solving skills and a track record of improving developer velocity or system reliability
- Strong communication skills and ability to collaborate with both research and product engineering teams
Preferred Qualifications
- Experience with machine learning infrastructure, training pipelines, or model evaluation tooling
- Background in monitoring and observability (e.g., Prometheus, Grafana, Datadog)
- Knowledge of infrastructure as code and configuration management best practices
- Interest in designing systems that support reproducible, safe, and efficient AI development
- Prior experience in an early-stage startup or small research organization
About the Role
NeoCognition is the AI agent lab for specialized intelligence. The company’s mission is to expand access to expertise by developing AI agents that continuously learn to reach expert-level intelligence.
Company
NeoCognition is the AI agent lab for specialized intelligence. The company’s mission is to expand access to expertise by developing AI agents that continuously learn to reach expert-level intelligence.
Funding
The company has received $40M seed funding led by Cambium Capital and Walden Catalyst Ventures, with angels including Intel CEO Lip-Bu Tan and Databricks co-founder Ion Stoica. Founded by Ohio State's elite AI agent lab, led by Sloan Research Fellow Yu Su, NeoCognition is backed by a team where most hold PhDs. The company has pioneered foundational agent research, such as Mind2Web, SeeAct, and MMMU, which are now used in frontier models from OpenAI, Anthropic, and Google.