Remotery

Data Scientist, Software Developer

Posted May 10

This is a fully remote position, open to applicants in Maryland.

πŸ“‹ Description

β€’ Design, develop, and implement AI-driven services for the Compendia Data Platform (CDP), which includes LLM-based NLP functionalities and interoperable (agentic) components.

β€’ Create and sustain evaluation frameworks for LLM - ontology/knowledge base integration, which encompass quantitative metrics, baselines, error analysis, and reporting to facilitate sound architectural decisions.

β€’ Assist in the management of the ontology lifecycle (modeling, inference, validation, and lifecycle workflows) as the ontology module transitions from MVP to GA.

β€’ Collaborate with product and engineering teams to enhance platform stability, performance, and scalability for CDP v1.8 and subsequent versions.

β€’ Participate in proofs of concept (PoCs), demonstrations, and mission-aligned analytics workflows while honoring LANL delivery commitments.

β€’ Keep abreast of pertinent research and emerging trends in semantic engineering, LLM evaluation, and production AI systems; convert insights into actionable, testable solutions.

β€’ Foster a high-performing team culture by delivering mission-focused analytics and software tools that ensure high customer satisfaction and adhere to strict delivery timelines.


⛳️ Requirements

β€’ 2+ years of robust Python proficiency and experience in delivering production software (APIs/services), including testing and version control.

β€’ 2+ years of experience with NLP and/or contemporary LLM workflows (prompting, retrieval, fine-tuning/adaptation, and/or tool/agent integration) along with an understanding of evaluation factors.

β€’ 2+ years of experience in designing experiments and quantitative evaluations (metrics, baselines, error analysis) and effectively communicating results to both technical and non-technical audiences.

β€’ U.S. Citizenship and the capability to obtain a DOE "Q" or DoD Top Secret clearance.


🏝️ Benefits

β€’ Health insurance

β€’ Flexible work arrangements

β€’ Professional development opportunities

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