We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Research Engineer, AI (Entry-Level)

Entry-levelremoteRemote: United States; UTC-10 to UTC-5, USScore 63/100today
Stack
clouddockerembeddingsfine-tuningllmpython
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Company Overview Orbis is a technology company that delivers sovereign intelligence and decision capabilities to the United States Government and its allies. We convert complex information and operational systems into decisive outcomes, giving public institutions and critical enterprises the tools to move faster, see clearer, and act first in an increasingly contested world. We are not a consulting firm and not a systems integrator. Every Orbis team is built around practitioners who have operated at the mission edge, and every engagement is judged on one thing: whether it produces working capability, not slide decks. Solutions forged from experience; that is how we build, and it is how we hire. Job Summary Support applied research across the Orbis AI focus areas — agentic AI, knowledge representation, dynamic ontologies, autonomous analysis, and high-performance analytics — working alongside senior research engineers on questions with real product stakes. You will reproduce baselines, build evaluation datasets and harnesses, run experiments, and write up what actually happened. This role exists to bring strong early-career engineers into applied AI research and grow them toward owning a research area. Travel : Occasional, up to 10%, for conferences, training, and team collaboration. Key Responsibilities Reproduce baselines and published methods, and document precisely where your results diverge from what was reported. Build and maintain evaluation datasets and harness
Company — after you sign in. Sign in
Source: HimalayasView on Himalayas →
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs