LLM Research Scientist Intern @ Leidos | Jobright.ai
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Leidos · 20 hours ago

LLM Research Scientist Intern

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Actively Hiring
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Responsibilities

Build reusable, testable, and efficient code for front-end and back-end systems.
Develop, deploy, and manage AI/ML models, including Generative AI models (GPT, DALL-E, etc.), to solve business problems.
Work with data scientists to integrate AI/ML models into production environments.
Fine-tune models, manage version control, and monitor performance in production systems.
Develop and maintain CI/CD pipelines to automate model deployment and web application releases.
Implement DevOps best practices for infrastructure as code (IaC) using tools like Docker, Kubernetes, and Terraform.
Conduct anomaly detection using various AI/ML techniques
Properly configure general adversarial networks on their own and in conjunction with training such as Generative AI
Understanding of autoencoders and their parameters
Engineer prompts for LLMs and Generative AI
Use algorithms to identify complex patterns across multiple modalities
Increase the efficiency and quality of data alignment and fusion
Design rewards for reward model training in reinforcement learning
Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms quantitative data analysis, including developing retrieval, processing, fusion, analysis, and visualization of various datasets
Configure and program prototypes Jupyter notebooks with ML solutions
Setup and use AWS instances to train and operate AI/ML models

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 IntelligenceLarge Language Models (LLMs)PythonKerasTensorFlowReinforcement LearningTransformersData HandlingGenerative AIDockerKubernetesAWSAzureGoogle CloudData AnalyticsPrompt EngineeringCI/CD PipelinesEthical AIVisualization ToolsText MiningJupyter NotebooksBig Data SkillsSoftware Development

Required

College students actively seeking a B.S. degree in Aerospace Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or related fields
Must be able to obtain a Top-Secret security clearance with a polygraph
US citizenship required
Knowledge of Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, mxnet, etc. - Ability to apply these frameworks to real problems in the 'time --series' domain
Assist in the development and testing of commercial web applications
Collaborate with senior developers on various software development projects
Apply user-centered design principles in web application development
Participate in agile development processes and team meetings
Contribute to the improvement of existing software and the creation of new features
Intermediate software development skills lifecycle including developing and maintaining good production quality code
Hands-on Software Development Skills (Python-Preferred)
Experience or educational courses/projects in Machine Learning and Text

Preferred

Visualizations/Web Development Skills (e.g., Tableau, D3)
Hands-on experience with prototype development
Hands-on experience with automating data cleansing, formatting, staging, and transforming data human
Hands-on experience applying data analytics
Hands-on experience with prompt engineering
Hands-on experience with reinforcement learning
Hands-on experience with LLMs and Generative AI
Hands-on experience with intelligent systems and machine learning
Experience with the interpretability of deep learning models
Big Data Skills (Azure, Hadoop, Spark, recent deep learning platforms)
Experience with text mining tools and techniques, including in areas of summarization, search (e.g., ELK Stack), entity extraction, training set generation (e.g., Snorkel), and anomaly detection
Hands-on experience with DKube
Hands-on experience with KubeFlow
Hands-on experience with Feast

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2013-09-17IPO· undefined

Leadership Team

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Kirk Smedley
Chief Technology Officer, Spatial Solutions
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Amy Smith
Senior Vice President, Government Affairs
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Company data provided by crunchbase
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