Remote Enterprise AI Research Engineer

Dover; Northern (KY); Remote; USD 130,000 - 210,000; Full time

Job summary

Dover seeks a Member of Technical Staff for Enterprise AI to embed within live enterprise AI workflows and drive rapid experimentation to boost system performance. You will surface failure modes, design high-signal datasets, and develop evaluation protocols while collaborating with research, product, and client teams.

The role emphasizes translating operational issues into research questions, building robust evaluation tooling, and delivering actionable insights that inform product direction and

Qualifications

• Master’s degree in CS/ML/AI or related field.
• Strong judgment for research signal quality and data selection.
• Experience designing datasets and evaluation frameworks for ML systems.
• Ability to translate ambiguous operational issues into structured research problems.
• Familiarity with RL environments and agentic system evaluation.
• Clear, concise communicator with bias toward actionable insight.

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.

Skills

Research signal judgment

ML-oriented data design

Ops-to-Research translation

Enterprise AI

Education

Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field

Job description

Dover seeks a Member of Technical Staff for Enterprise AI to embed within live enterprise AI workflows and drive rapid experimentation to boost system performance. You will surface failure modes, design high-signal datasets, and develop evaluation protocols while collaborating with research, product, and client teams.

The role emphasizes translating operational issues into research questions, building robust evaluation tooling, and delivering actionable insights that inform product direction and