Research Engineer - Agentic Infrastructure & Reproducible AI

Stanford University; Palo Alto (CA); On-site; USD 118,000 - 165,000; Full time

Job summary

Stanford Law School's liftlab seeks a Research Engineer to design and implement software infrastructure for coordinating research agents and running large-scale experiments. The role spans design, prototyping, testing, deployment, and performance optimization, with emphasis on reproducibility and modular architectures.

The engineer will build configurable workflows, integrate models and tools, provision research environments, and contribute to researchers' methodology and evaluation tasks,

Qualifications

• Strong programming skills in Python and ability to learn scientific programming tools.
• Experience with scalable data processing, parallel or distributed execution, and performance optimization.
• Bachelor's degree and five years of relevant experience, or equivalent experience.

Responsibilities

• Conceptualize design, implement, and develop solutions for complex systems/programs.
• Work with users to gain information and balance intra-system tradeoffs.
• Document system builds and configurations; maintain documentation.
• Provide technical analysis, design, development, and implementation work.
• Mentor junior software developers and lead engineering delivery.

Skills

Python

Distributed systems

Education

Bachelor's degree

Job description

Stanford Law School's liftlab seeks a Research Engineer to design and implement software infrastructure for coordinating research agents and running large-scale experiments. The role spans design, prototyping, testing, deployment, and performance optimization, with emphasis on reproducibility and modular architectures.

The engineer will build configurable workflows, integrate models and tools, provision research environments, and contribute to researchers' methodology and evaluation tasks,