Orbis Operations
Research Engineer, AI
Remote - US +1 · Remote · Full-time · Posted Oct 21, 2026
- Location
- Remote - US
Remote-US - Experience
- 3+ years of applied research or research-engineering experience, or an M.S./Ph.D. in Computer Science, Machine Learning, or a related field with equivalent applied work.
- Education
- M.S./Ph.D. in Computer Science, Machine Learning, or a related field with equivalent applied work is an alternative to 3+ years of experience.
About the job
Lead applied AI research from problem framing and experiments through validated product implementation, focusing on dependable mission capabilities.
What you'll do
- Frame research questions, build prototypes, and run reproducible experiments with rigorous evaluation.
- Maintain datasets and evaluation tools; communicate findings and recommend whether to continue, pivot, or stop.
- Transition validated results into production and contribute through publications, open source, or academic collaboration.
What they ask for
- Strong Python engineering skills.
- Experience designing and running experiments that produce actionable conclusions.
- Depth in at least one stated AI focus area and working knowledge of modern LLM and retrieval methods and their limitations.
- Clear technical writing and willingness to travel up to 20%.
Nice to have
- Relevant publications, open-source contributions, or academic collaborations; experience taking research into production.
- Experience with knowledge graphs, agent architectures, model training or evaluation at scale, performance engineering, or intelligence workflows.
Tools
Python, LLM, retrieval methods
AI focus
Applied research in agentic AI, knowledge representation, dynamic ontologies, autonomous analysis, and high-performance analytics, carried into dependable products.
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