Description

The Leidos Innovations Center is looking for a Principal Research Scientist in the area of Machine Learning (ML) who has a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art.

Primary Responsibilities

The principal research scientist will serve in the role of principal investigator on contract R&D and internal R&D programs, engaging R&D customers and transition partners to develop new business opportunities and leading teams of researchers and engineers in the development, adaptation, and extension of innovative ML-based approaches and solutions across a range of technical areas and application domains, for diverse and often disparate types of data and complexity, and for projects that are inherently both fundamental and applied in nature.

The innovative technical solutions will advance the state of the art in machine learning and/or artificial intelligence while addressing long-term problems of importance to national security. As such, candidates should have successful, proven, and demonstrable experience leading proposals and winning competitive research and development efforts, and then leading high-performing teams in the development and integration of software-based solutions for customers such as DARPA and other branches of the Department of Defense.

The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data. They will develop automation to extract and prepare features from multi-domain datasets. They will adapt NLP libraries/toolkits that include transformer models like BERT and ChatGPT, as well as Stanford CoreNLP, Spacy, NLTK, Word2Vec, and Gensim.

Basic Qualifications

M.S degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. (Ph.D. is preferred)

At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.

At least 5 years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, etc.

Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities.

Understanding of transformers and foundation models

Python proficiency

Self-starter with high intellectual curiosity

Great communication skills, able to explain language model results to a non-technical audience

Proficient in data exploration techniques and tools

Must be a U.S Citizen

Ability to obtain a DoD Secret clearance with potential eligibility for Top Secret.

Preferred Qualifications

Ph.D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.

Track record of extending ML and AI tools and algorithms for new challenges

Experience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges

Proven track record in proposing, winning, and executing work with customers such as DARPA

Ability to work in a fast-paced environment

Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently

Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities.

Practical understanding of generative models

Experience programming machine learning algorithms for GPUs

Understanding of Convolutional Neural Nets

Experience adapting large language models technologies

Discernment of when and how to use machine learning regulation

Experience adapting ML algorithms and tools with operational workflows for customers in the US government

LInC

Original Posting Date

2024-02-23

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range

Pay Range $122,200.00 - $220,900.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is a Fortune 500 innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. 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

Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

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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