To our valued Leidos candidates:

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Job #: R-00083548
Location: Remote, United States
Category: Research Scientist
Schedule (FT/PT): Full Time
Travel Required: Yes, 10% of the time
Shift: Day
Potential for Telework: Yes, 100%
Clearance: Top Secret/SCI
Referral Eligibility: Eligible
Referral Bonus Amount: $5000.00
Group: Leidos Innovations Center (LInC)

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Description

Job Description:

Do you have a passion in working hands-on in designing, implementing, and analyzing NLP approaches that integrate, adapt, and extend novel capabilities to state-of-the-art technical challenges in competitive contract research and development (R&D) programs (basic and applied)? If yes please keep reading.

Here at Leidos we are looking for you, our latest Natural Language Processing Scientist (NLP) who loves and has skills in the following: computational linguistics, human language technology, machine translation, automated speech recognition, machine translation, linguistic data analysis, statistical programming, data science, and technical writing. If you have experience participating in, and leading multi-disciplinary teams of researchers and engineers we would love to take your experience and passion and put that to work to help our various customers. Your work will be completed in our Arlington, VA office where you will grow and learn from the best of the best in the industry.

Your day to day:
- Implement several NLP libraries to include Stanford CoreNLP, Spacy, NLTK, Word2Vec and Gensim along transformer models like BERT
- Use supervised and unsupervised machine learning approaches for domain adaptation. Those approaches include named-entity recognition, sentiment analysis, information extraction, text classification, and newer NLP capabilities that are still theoretical. 
- Assist the technical lead supervising the technical plan and resources
- Work at the direction of a technical lead (e.g., PhD-level research scientist), and work independently on research programs and adapt NLP technologies as part of a large project addressing highly-complex research challenges
- Collect and develop data sets based common to machine learning-based NLP tasks.  Examples include data collection, exploration, formatting; dimension reduction; enhancing and improving data quality; and feature selection and engineering. 
- Adapt and extend state of the art machine learning-based technologies to support NLP tasks

This is you:
- Bachelor's degree in Natural Language Processing, Natural Language Technology, Computational Linguistics, Artificial Intelligence, and Machine Learning or related field and 4 years of relevant experience or Masters with less than 2 years’ experience or 4 additional years of experience may be used in lieu of degree
- Must be able to obtain TS/SCI with Poly security clearance
- Hands-on experience training and optimizing NLP algorithms 
- Knowledge text processing and construction of corpora in unfamiliar languages; processing of large text collections with standard NLP tools for parsing, entity extraction, POS tagging, topic discovery and classification (such as sentiment analysis), and natural language understanding
- Ability in tuning hyper-parameters of existing NLP models for domain-specific data sets; computational manipulation and analysis of natural language documents using statistical models; experimenting with large corpora for developing and testing advanced NLP algorithms
- Experience in at least three of these Toolkits: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, vow pal wabbit, Stanford CoreNLP, BERT,  etc.
- Understanding of programming fundamentals
- Python proficiency
- Self-starter and intellectual curiosity
- Great communication skills, ability to explain predictive analytics to non-technical audience
- Proficiency in data exploration techniques and tools

You will wow us even more if you have these skills:  
- Experience programming machine learning algorithms for GPUs
- Ability with Deep Learning (CNNs, RCNNs, LSTMs), GANs, Autoencoders, Reinforcement Learning, Siamese Networks, Logistic Regression, Linear Regression, Support Vector Machines, Hidden Markov Models, Conditional Random Fields, Latent Dirichlet Allocation.
- Working knowledge of Word2Vec, NLTK, BERT
- Discernment of when and how to use machine learning regulation

LInC
AIML
External Referral Eligible

Pay Range:

Pay Range $74,750.00 - $115,000.00 - $155,250.00

#Remote

Covid Guidance

In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC. 

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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