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Phd Library Science Jobs in Maryland (NOW HIRING)

InterImage

Image Processing SME

Fort George G Meade, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image ... even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or ...

InterImage

Image Processing SME

Fort George G Meade, MD

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image ... even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or ...

Pae

AI Modeling Specialist (Senior)

Fort George G Meade, MD

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch ... Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience ...

ManTech

Front End Developer

Annapolis Junction, MD

$91K - $153K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... PhD with 0+ years of progressively responsible experience. * 3+ years professional front-end ... libraries and design systems (Material-UI, Ant Design) * Bachelor's degree in Computer Science ...

ManTech

Front End Developer

Annapolis Junction, MD · On-site

$114K - $190K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... PhD with 5+ years of progressively responsible experience. * 3+ years professional front-end ... libraries and design systems (Material-UI, Ant Design) * Bachelor's degree in Computer Science ...

EM Key Solutions

Senior Biostatistician

Silver Spring, MD · On-site +1

... scientific/technical audiences. * Extensive knowledge of a standard statistical software library (e ... A PhD in a related field with appropriate biostatistics experience may be considered, through a ...

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Phd Library Science information

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How much do phd library science jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for phd library science in Maryland is $15.27, according to ZipRecruiter salary data. Most workers in this role earn between $11.44 and $17.02 per hour, depending on experience, location, and employer.

What cities in Maryland are hiring for Phd Library Science jobs?

Cities in Maryland with the most Phd Library Science job openings:

Phd Library Science jobs near you
Infographic showing various Phd Library Science job openings in Maryland as of June 2026, with employment types broken down into 6% As Needed, 73% Full Time, 15% Part Time, 3% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $31,767 per year, or $15.3 per hour.

Senior Principal Data Scientist / AI-ML SME (Analytic Superiority)

Leidos

Fort George G Meade, MD • On-site

$154K - $278K/yr

Full-time

Re-posted yesterday

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 492 rated business services

Job description

Mission Overview
The Leidos Intel Sector is looking for a premier AI/ML Subject Matter Expert (SME) to serve as a Technical Closer for our COSS 3.0 program supporting USCYBERCOM and the Cyber National Mission Force (CNMF) at Fort Meade, MD. In this elite role, you will architect and engineer the cross-platform AI frameworks required to achieve absolute analytic superiority.
You will compress both defensive cyber operations (identifying network vulnerabilities and gaps) and offensive operations (vulnerability discovery and automated targeting) from days down to minutes. As a Technical Closer, you will mentor senior technologists by example-working "fingers-on-keyboard" to solve the command's most complex technical roadblocks and pushing production-grade AI directly into multi-cloud, hybrid, and air-gapped mission enclaves.
Core Technical Requirements
  • Platform-Agnostic Infrastructure & MLOps: Architect, deploy, and scale distributed AI workloads across any environment required, including AWS SageMaker, Google Vertex AI, Azure Government, and bare-metal, air-gapped server racks.
  • Agentic AI & Cyber Automation: Deploy and optimize tools like LangGraph, CrewAI, or AutoGPT to automate cyber threat identification and offensive target generation at wire speed.
  • Low-Level Model Engineering & Optimization: Fine-tune open-source large language models (e.g., Llama 3, Mistral) inside secure enclaves using PyTorch or TensorFlow. Utilize NVIDIA TensorRT, Triton Inference Server, vLLM, and quantization libraries (bitsandbytes) to compress models for high-throughput execution under strict hardware constraints.
  • Advanced RAG Architectures: Direct the engineering of enterprise Retrieval-Augmented Generation (RAG) stacks using LangChain paired with high-performance vector databases like Milvus, Qdrant, or Pinecone.
  • Autonomous Cyber Integration: Connect intelligent agents directly into security orchestration platforms (e.g., Palo Alto Cortex XSIAM/XSOAR) to trigger automated network defense actions and ingest massive, real-time PCAP and telemetry streams via Apache Kafka/Spark.
  • Polyglot Engineering: Demonstrate engineering mastery in Python, Go, Rust, and C/C++ to build ultra-fast cyber tools, write optimized GPU kernels, and interface with distributed frameworks like Ray.

Mission & Domain Expertise
  • Dual-Spectrum Operations: Proven capability to support both Defensive Cyber Operations (DCO) (log parsing, behavioral threat hunting, anomaly detection) and Offensive Cyber Operations (OCO) (automated vulnerability discovery, exploit generation, payload optimization).
  • Mission Platform Orchestration: Experience integrating custom AI/ML pipelines into unified mission systems and high-value data streams found across Project Maven, Palantir Foundry, and tactical command frameworks.

Required Experience & Background
  • Total Technical Experience: 15+ years of hands-on experience in software engineering, data science, or distributed systems.
  • Core AI/ML Focus: 5+ years of specialized experience in Machine Learning Engineering, deep learning, or LLM optimization.
  • DoD/IC Ecosystem: 3-5 years working within the DoD/IC cyber ecosystem, specifically building tools that map vulnerabilities or accelerate targeting cycles.
  • Clearance: Active TS/SCI with Polygraph..
  • Work Location: On-site at Fort Meade, MD (SCIF environment).

Preferred Certifications & Military Equivalency
  • Industry Certifications: Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, or NVIDIA Generative AI/LLM Associate.
  • Cyber Mission Force (CMF) Equivalency: Prior certification as a CMF Exploitation Analyst (EA), Digital Network Analyst (DNA), or specialized technical experience as an Army 17A/170A, Navy 181X, or Air Force 17D/17S.

Educational Background
  • Primary Requirement: Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, Mathematics, or a related quantitative field. Additional years of experience may be considered in lieu of degree.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
July 16, 2026
For U.S. Positions: 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 $154,050.00 - $278,475.00
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.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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