We are looking for Member of Technical Staff, Enterprise AI candidates for a project delivered through micro1.
What you'll do
- Function as a forward-deployed research partner embedded directly within enterprise AI systems.
- Work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.
- Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
- Surface, formalize, and prioritize system failure modes in real-world deployments.
- Design high-signal datasets and evaluation protocols to target identified weaknesses.
- Run tight experimental loops to validate hypotheses and quantify improvements.
- Produce clear, decision-oriented analyses of system behavior and performance.
- Develop and benchmark agentic workflows, focusing on robustness and scalability.
- Build lightweight tooling to support evaluation, data curation, and rapid iteration.
- Contribute to internal and external research artifacts, including reports and benchmarks.
What you need
- Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
- Strong judgment for research signal quality, including data selection and evaluation design.
- Experience designing datasets and evaluation frameworks for ML systems.
- Ability to translate ambiguous operational issues into structured research problems.
- Familiarity with RL environments and/or agentic system evaluation.
- Clear, concise communicator with a bias toward actionable insight.
- Proven ability to execute in fast iteration cycles and high-ambiguity settings.
- Collaborative mindset with experience working across research, product, and domain teams.
Nice to have
- Strong client-facing experience, particularly in technical or research-driven environments.
- Experience building internal research or evaluation tooling.
- Contributions to benchmarks, research publications, or open research initiatives.
- Exposure to enterprise AI deployments or forward-deployed research models.
Expertise
Who you work with
Project and contracting process: micro1. Applications continue on the provider's website.

