Research Engineer, AI

New

OrbisApplied AI research

Remote - US & Middle EastFull-TimeEntry

Salary not disclosed

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Job Details

Have 0–2 years of professional experience.
Hold a bachelor's or master's degree in computer science, machine learning, or a related technical field, or demonstrate equivalent ability.
Have solid programming fundamentals in Python and be able to explain and defend your code.
Have a working understanding of machine learning and LLM fundamentals, including evaluation basics, prompting, embeddings, and retrieval.
Be able to read a technical paper and explain its claims, evaluation, and limitations.
Be willing to travel occasionally, up to 10%.
Research experience from a thesis, lab, internship, or open-source project is desired.
Hands-on project experience with retrieval-augmented generation, agent frameworks, or fine-tuning is desired.
Exposure to graph databases, ontologies, or information extraction is desired.
Experience with experiment tracking and evaluation tooling, such as notebooks, dataset construction, or scoring pipelines, is desired.
Exposure to containerized environments such as Docker and to cloud or GPU compute is desired.

Reproduce baselines and published methods, and document where results diverge from reported findings.
Build and maintain evaluation datasets and harnesses, including cases that capture known failure modes.
Run experiments designed with senior research engineers and keep records that enable others to rerun them.
Perform error analysis, characterize what systems got wrong and why, and report the findings.
Implement well-scoped prototype components with design direction and code review from senior engineers.
Summarize relevant literature and open-source work and explain how it relates to the research question.
Write up results, including negative results, and present them in team research reviews.

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