Member of Technical Staff [Platform]
Engineering · Posted 4 months ago
As a Member of Technical Staff [Platform] at NeoCognition, you’ll design and build the internal systems that power everything we do — from research experiments to product deployments. You’ll create the tooling, infrastructure, and developer experience that enable our team to iterate rapidly, deploy confidently, and sca...
- Way of working
- On site
- Location
- Palo Alto, CA
- Pay range
- $200,000 to $300,000
- Level
- Staff
- Experience
- 2 to 7 years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- Software Development · under 20 people
Skills that matter here
What you would be doing
- 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.
The full description
About the Role
As a Member of Technical Staff [Platform] at NeoCognition, you’ll design and build the internal systems that power everything we do — from research experiments to product deployments. You’ll create the tooling, infrastructure, and developer experience that enable our team to iterate rapidly, deploy confidently, and scale intelligently.
This role sits at the intersection of infrastructure engineering, developer tooling, and MLOps. You’ll collaborate closely with research scientists and software engineers to ensure that our data, model, and product workflows are robust, reproducible, and efficient.
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.
There are three buckets of work. The first is the agent harness itself – building, implementing, and experimenting on the agent system and its memory. That is where the product people sit. It naturally bridges into the second bucket, which is the backend serving layer: hosting the agent, availability, tracking, security, networking, scaling. That is the platform side. The third bucket is the ML and language model research arm – training, data collection, evaluations – which is the research role.
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
Tell us about you