Member of Technical Staff, Enterprise AI – Remote (Worldwide)

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder. This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore. The source header advertised $300K–$700K. Its compensation notice lists $200K–$250K base salary. We show the stated base salary. Confirm pay with the employer before applying. Job Title: Member of Technical Staff, Enterprise AI Job Type: Full-time Location: Remote The Role As a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance. What You’ll Do • 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. Who You Are • 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. Preferred • 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. 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. The company 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.