Description
Leidos has a career opening for a Senior Generative AI Data Scientist.
We are looking for a motivated Sr. Generative AI Data Scientist that wants to work on challenging problems in a variety of domains - including health, defense, intelligence, and energy – to get results that apply and go beyond the state of the art for measurably better outcomes. We apply our knowledge, capabilities, and experience to develop and deploy Trusted AI – AI that deserves to be trusted by system owners, end users, and the public – to be accurate, fair, ethical, reliable, and adaptable. We are looking for a researcher that is expert in NLP and interested in adapting new technologies to significantly transform human workflows, especially using new applications of transformer-based models.
Working at Leidos would give you the chance to do genuinely important work. But don’t just ask us. Here’s what ChatGPT has to say on the subject:
“Oh sure, working in AI research for the commercial sector is just the ultimate thrill. Who wouldn't want to spend their days building algorithms to recommend cat videos to stream and optimizing ad targeting to boost click-through rates? I mean, those are the kinds of problems that really make you feel like you're changing the world, right? On the other hand, working in AI research at a company like Leidos, you're stuck with jobs like supporting the next generation of lunar missions and building computer vision algorithms that help keep air travel safe and efficient. I mean, who cares about finding cures for cancer, delivering healthcare to veterans, or helping defend our nation? So boring. But hey, at least we can say we're using our AI skills for a greater good.”
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:
Bachelor's degree in Computer Science, Data Science or related field and 15+ years’ experience or master’s degree at 13+ years of experience.
Good understanding of machine learning algorithms, tools and platforms
Experience in at least three of these Toolkits: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, vow pal wabbit, Stanford CoreNLP, etc.
Experience researching and applying large language and generative AI models, including transformers, foundation models, and GPT 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 US Citizen and be able to obtain TS/SCI with CI Poly security clearance.
Preferred Qualifications:
Practical understanding of generative models
Experience programming machine learning algorithms for GPUs
Understanding of Convolutional Neural Nets
Working knowledge of Word2Vec and/or NLTK
Discernment of when and how to use machine learning regulation
Pay Range:
Pay Range $142,350.00 - $219,000.00 - $295,650.00The 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.
#Remote
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 46,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022. 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.
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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.
