Remote Enterprise AI Research Engineer

Key Responsibilities

• Embed within enterprise AI workflows as a research collaborator.
• Identify, formalize, and prioritize system failure modes in real-world deployments.
• Design high-signal datasets and evaluation protocols to address identified weaknesses.
• Conduct tight experimental loops to validate hypotheses and measure improvements.
• Produce clear, decision-oriented analyses of system behavior and performance.
• Develop and benchmark agentic workflows, emphasizing robustness and scalability.
• Create lightweight tools to support evaluation, data curation, and rapid iteration.
• Contribute to internal and external research artifacts, including reports and benchmarks.

Qualifications

• Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
• Strong judgment for assessing research signal quality, including data selection and evaluation design.
• Experience in designing datasets and evaluation frameworks for machine learning systems.
• Ability to translate ambiguous operational issues into structured research problems.
• Familiarity with reinforcement learning environments and agentic system evaluation.
• Clear and concise communication skills with a focus on actionable insights.
• Proven ability to execute in fast iteration cycles and high-ambiguity settings.
• Collaborative mindset with experience working across research, product, and domain teams.

Preferred Qualifications

• Strong client-facing experience, particularly in technical or research-driven environments.
• Experience in building internal research or evaluation tools.
• 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

The national pay range for this position is $250,000 - $500,000 annually, with eligibility for equity compensation and performance-based bonuses.

Eligibility

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law.