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Company

Leidos · 2 days ago

Machine Learning Research Scientist

United States

Full-time

Remote

Senior Level, Lead/Staff

$122K/yr - $221K/yr

8+ years exp

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ComputerGovernment

Actively Hiring

No H1B

U.S. Citizen Only

Security Clearance Required

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Responsibilities

Leading proposals, 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, IARPA and other branches of the Department of Defense and Intelligence Community.

Serve in the role of principal investigator on contract R&D and internal R&D programs.

Engage 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.

Have a hands-on role and 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.

Develop expertise in one or more technical domains, demonstrating ability to automate, extract, and prepare features from multi-domain datasets as well as modify and optimize various models within their technical domain. For example, they may adapt NLP libraries/toolkits that include transformer models like BERT and ChatGPT, as well as Stanford CoreNLP, Spacy, NLTK, Word2Vec, and Gensim for linguistics application or models like SSD, YOLO, DINO, and Faster-RCNN for computer vision tasks.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningArtificial IntelligencePythonNLPComputer VisionNumPySciPyScikit-learnTensorFlowPyTorchKerasGensimOpenCVTransformersCloud PlatformsData ExplorationAgile ToolsGenerative ModelsConvolutional Neural NetsLarge Language ModelsTechnical Communication

Required

B.S in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field with 12+ years of prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred)

Proven track record in proposing, winning, and executing work with customers such as DARPA/IARPA within the last 5 years

Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.)

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, OpenCV, 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

Proficiency in developing, training, and deploying models both in Cloud platforms as well as on-prem resources. Any experience deploying models on Size, Weight, and Power (SWaP) constrained platforms is highly desired

Self-starter with high intellectual curiosity

Great communication skills, able to explain model training and performance 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

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

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

Experience operating within agile project execution environments and proficiency with agile tools (e.g., JIRA)

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

Local to the Northern Virginia area