Member of Technical Staff, Enterprise AI
As a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems.
Hiring companyMicro1
About the role
You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.
Responsibilities
- 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.
Preferred skills
- 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.
Experience and education
- 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.
Assessment requirements
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Eligibility
Work arrangement: Fully remote
Compensation details
$200,000–$250,000 per year.
Compensation & Benefits Notice
- The national pay range for this full-time position is base salary of $200,000 –$250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
More about the hiring companyMicro1
