Orbis Operations
Research Engineer, AI (Entry-Level)
Remote - US +1 · Remote · Entry level · Full-time · Posted Oct 21, 2026
- Location
- Remote - US
Remote-US - Experience
- 0-2 years of professional experience
- Education
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field, or equivalent demonstrated ability
About the job
Supports applied AI research by reproducing methods, building evaluations, running experiments, analyzing errors, and implementing prototypes with senior engineers.
What you'll do
- Reproduce published methods, run documented experiments, and report results, including negative results.
- Build and maintain evaluation datasets and harnesses; analyze system errors and failure modes.
- Implement scoped prototypes, review relevant research, and present findings in team research reviews.
What they ask for
- Solid Python programming fundamentals.
- Working understanding of machine learning and LLM fundamentals, including evaluation, prompting, embeddings, and retrieval.
- Ability to read technical papers and explain their claims, evaluation, and limitations.
- Intellectual honesty about results and willingness to travel occasionally, up to 10%.
Nice to have
- Research experience through a thesis, lab, internship, or open-source project; hands-on experience with retrieval-augmented generation, agent frameworks, or fine-tuning.
- Exposure to graph databases, ontologies, information extraction, experiment tracking, evaluation tooling, Docker, or cloud/GPU compute.
Tools
Python, LLMs, retrieval-augmented generation, agent frameworks, graph databases, Docker
AI focus
Applied research in agentic AI, knowledge representation, dynamic ontologies, autonomous analysis, and high-performance analytics.
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