The MITRE Corporation
Senior Generative AI Engineer - Human Language Technology
The MITRE Corporation, Fort George Meade, Maryland, United States,
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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 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 5 years of related experience with a Bachelor’s degree in computer science, engineering, linguistics, or related disciplines; or 3 years and a Master’s degree; or a PhD with relevant experience; or equivalent combination of related education and work experience.
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:
$132,500 - $165,500 - $198,500 Annual
Work Location Type:
Hybrid
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org .
Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here (https://careers.mitre.org/us/en/benefits)
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 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 5 years of related experience with a Bachelor’s degree in computer science, engineering, linguistics, or related disciplines; or 3 years and a Master’s degree; or a PhD with relevant experience; or equivalent combination of related education and work experience.
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:
$132,500 - $165,500 - $198,500 Annual
Work Location Type:
Hybrid
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org .
Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here (https://careers.mitre.org/us/en/benefits)