ME00643-Cryptologic Computer Scientist 2

Momentum Engineering, Inc.; Fort Meade (FL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Paid holidays

Paid time off (PTO)

Medical insurance

Dental insurance

Vision insurance

Life insurance

STD/LTD

Job summary

Momentum Engineering, Inc. seeks a Cryptologic Computer Scientist to support an NLP project focused on tokenizing language data from spoken and written sources.

You will develop automated language-annotation capabilities and evaluate model performance against human-generated annotations. Responsibilities include building NLP solutions for both spoken and written data, improving automated tokenization, annotating language with POS information, and analyzing large language datasets.

Qualifications

• Bachelor’s degree with 3 years of relevant experience or Associate’s degree with 5+ years related experience.
• Data science experience and NLP experience are required.
• Experience developing automated language-data processing solutions.
• Familiarity with tokenization and language annotation.
• Ability to evaluate and score model performance.
• Experience working with spoken and written language datasets.

Responsibilities

• Develop NLP solutions for spoken and written language data.
• Design and improve automated tokenization capabilities.
• Develop automated methods for annotating language data with parts-of-speech information.
• Process and analyze speech- and text-based datasets.
• Evaluate model performance against human-generated annotations.
• Develop quantitative approaches for scoring NLP model accuracy and performance.
• Identify model deficiencies and recommend improvements.
• Collaborate with linguists, data scientists, engineers, and mission stakeholders.

Skills

Data science

Natural Language Processing

Tokenization

Language annotation

Model evaluation

Speech/Text datasets

Education

Bachelor’s Degree

Associate’s Degree

Job description

Job Summary

• Seeking a Cryptologic Computer Scientist to support a Natural Language Processing project focused on accurately and automatically tokenizing language data originating from both spoken and written sources


• The successful candidate will develop automated language-annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

• Develop NLP solutions for spoken and written language data


• Design and improve automated tokenization capabilities


• Develop automated methods for annotating language data with parts-of-speech information


• Process and analyze speech- and text-based datasets


• Evaluate model performance against human-generated annotations


• Develop quantitative approaches for scoring NLP model accuracy and performance


• Identify model deficiencies and recommend improvements


• Collaborate with linguists, data scientists, engineers, and mission stakeholders

Required Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph


• Bachelor’s Degree with 3 years of relevant experience, Associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position


• Data science experience


• Experience with Natural Language Processing


• Experience developing automated solutions for language-data processing


• Familiarity with tokenization and language annotation


• Ability to evaluate and score model performance


• Experience working with spoken and/or written language datasets

Desired Qualifications

• Experience with part-of-speech tagging


• Computational linguistics experience


• Experience benchmarking machine-generated language annotations against human-generated annotations

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.