About this opportunity
Confidential lists this Member of Technical Staff, Enterprise AI opportunity in Applewood, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview
Improve enterprise AI systems by embedding in live workflows, identifying real-world failure modes, and leading rapid research and experimentation cycles. This full-time, remote role focuses on building stronger foundational models and agents through high-quality training data, frontier evaluations, reinforcement learning environments, and enterprise-focused agent evaluations.
Key Responsibilities
Partner with domain experts and client teams as an embedded research collaborator within enterprise AI workflows.
Identify, formalize, and prioritize system failure modes observed in production settings.
Design high-signal datasets and evaluation protocols that address identified weaknesses.
Run focused experiments to test hypotheses and measure performance improvements.
Deliver clear, decision-oriented analysis of system behavior and performance.
Develop and benchmark agentic workflows for robustness and scalability.
Build lightweight tools for evaluation, data curation, and rapid iteration.
Contribute to research reports, benchmarks, and other internal and external research artifacts.
Qualifications
Master''s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline.
Strong judgment about research signal quality, including data selection and evaluation design.
Experience designing datasets and evaluation frameworks for machine learning systems.
Ability to turn ambiguous operational challenges into structured research questions.
Familiarity with reinforcement learning environments and/or agentic system evaluation.
Clear, concise communication and a focus on actionable insights.
Ability to work effectively through rapid iteration and ambiguity.
Experience collaborating across research, product, and domain teams.
Preferred Qualifications
Client-facing experience in technical or research-driven environments.
Experience developing internal research or evaluation tooling.
Contributions to benchmarks, research publications, or open research initiatives.
Exposure to enterprise AI deployments or forward-deployed research models.
Work Terms
Full-time, remote position.
Compensation and Benefits
Listed annual compensation range: $300, 000 to $700, 000.
National base salary range: $200, 000 to $250, 000 USD annually.
All employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and company policies.
Benefits include up to 100% reimbursement of health-insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits for a remote-first workforce.
Eligibility and Application Support
Qualified applicants are considered without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability, genetic information, veteran status, or other status protected by applicable law. For assistance or a reasonable accommodation during the application process,
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.