Intermediate Generative AI Engineer – Human Language Technology

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Department Summary:

MITRE’s Human Language Technology (HLT) Department works across the full range of US Government agencies to provide language processing solutions to address complex mission needs for our sponsors. Our work provides opportunities to apply language processing solutions to real-world challenges and to research and prototype new methods to address mission needs. We are looking for highly motivated, adaptive, and self-directed candidates to perform research, development, engineering, evaluation, and integration in the area of generative artificial intelligence (GenAI), with particular emphasis on leveraging large language models (LLMs) to support a diverse set of mission needs across MITRE’s sponsor base. We are looking for expertise in areas such as LLMs, machine learning, model training and deployment, model evaluation, retrieval augmented generation (RAG) systems, MLOps, fine-tuning models and prompt engineering.

Roles & Responsibilities:

The position involves researching, developing, evaluating, and integrating GenAI and LLM capabilities. Specific responsibilities will include:

Work in and provide technical leadership to cross-functional teams to develop and implement generative AI solutions and prototypes, including capabilities that leverage large language model (LLM) technology

Analyze sponsor mission needs and recommend innovative prototypes and solutions that leverage cutting edge generative AI technologies

Fine-tune and optimize models to improve model performance and to support real-world mission needs across MITRE’s sponsor base

Evaluate technology solutions in the context of mission data and workflow needs, and provide actionable recommendations for improving the performance of models and/or components

Convey complex ideas to non-technical audiences through briefings and/or white papers

Lead or contribute to small teams to solve technical challenges by applying GenAI capabilities

Leverage MITRE’s Federal AI Sandbox (NVIDIA DGX SuperPod hardware) and AI Platform to support research, development and evaluation of generative AI capabilities

Basic Qualifications:

Requires a minimum of 2 years of related experience with a Bachelor’s degree in computer science, engineering, linguistics, or related disciplines; or a Master’s degree in computer science, engineering, linguistics, or related disciplines.

Demonstrated recent experience with LLM technology and applications

Knowledge of and experience in prototyping/developing human language technology components/systems

Ability to apply state-of-the-art machine learning and LLM techniques to real-world problems

Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems

Experience with programming languages such as Java or Python

Demonstrated recent experience in prototyping/developing human language technology components/systems

Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences

US Citizenship with the ability to obtain and maintain a US government security clearance within one year from date of hire

This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

Prior work experience, including summer internships, in positions requiring the use of LLM and generative AI technologies

Hands-on experience in the development/prototyping of HLT systems or components

Active DOD security clearance

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Secret

Salary compensation range and midpoint:

$110,000 – $137,500 – $165,000 Annual

Work Location Type:

Hybrid

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