Keras software library, NumPy, PyTorch, Scikit-learn, SciPy, TensorFlow
Primary Responsibilities:
The Senior Generative AI Data Scientist will be customizing and creating 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 employ NLP libraries/toolkits that include transformer models like BERT and ChatGPT, as well as Stanford CoreNLP, Spacy, NLTK, Word2Vec, and Gensim.
As a member of the Leidos AI/ML Accelerator, they will be performing research and development, and need hands-on experience training and optimizing generative models. With those models and libraries, they will explore subjects like domain adaptation with supervised and unsupervised approaches. They will also build domain adaptive prototypes to examine the operational capabilities of bi-directional learning. They should be a self-starter while also being part of a team, collaborating and sharing discoveries and seeking feedback. They must be prepared to conduct research, document it, submit their research for publication, and present their research at conferences and other public forums.
Basic Qualifications:
Preferred Qualifications:
Pay Range:
Pay Range $142,350.00 - $257,325.00
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.
Leidos, formerly known as Science Applications International Corporation, is an American defense, aviation, information technology, and biomedical research company headquartered in Reston, Virginia, that provides scientific, engineering, systems integration, and technical services.
Gaithersburg, MD, USA
12-14 year
Bethesda, MD, USA
8-10 year