Top 9 Computer scientist Jobs in Norfolk Va

AIML Research Associate
Analytical Mechanics Associates, Inc. —Hampton, VA
- $23.10 - $33.50 an hour
- Part-time
- Computer Science
- Mid-level
- US work authorization
- Paid holidays
- Disability insurance
Research Assistant/ Associate Professor (Non-Tenured)
Old Dominion University —Norfolk, VA
- Part-time
- University
- Senior level
Postdoctoral Research Associate 26-013
Old Dominion University Research Foundation —Norfolk, VA
- Full-time
- Computer Science
- Analysis skills
- Math
EPSCI DAQ Scientist I
Jefferson Lab —Newport News, VA
- Email
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid holidays
- Health insurance
High Performance Computing Scientist
Jefferson Lab —Newport News, VA
- $89,800 - $159,300 a year
- Email
- Hybrid work
- Computer Science
- Mid-level
- 3 years
- Paid holidays
- Health insurance
Sr. Emerging Technology Assessment Lead (N)
SimIS Inc. —Norfolk, VA
- Full-time
- Computer science
- Computer Science
- Engineering
- Paid holidays
- Disability insurance
Quick Apply
Research (Associate) Professor in the Department of Clinical and Translational Sciences| (Non-Tenure Track , Position F1086A)
Old Dominion University —Norfolk, VA
- Part-time
- University
- Senior level

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Facilities Electrical Engineer
Emerge —Hampton, VA
Supervise contractor activity and ensure adherence to electrical codes and standards. Experience managing technical projects in a manufacturing environment.
$90,000 - $115,000 a year
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Systems Engineering Lead
Liebherr Mining Equipment Newport News Co. —Newport News, VA
The Systems Engineer Lead is responsible for leading the technical aspects of research, development, design, and validation of mechanical, electrical, and…

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Collaborate with other experts within the program and in the user community to design, develop, and debug existing software, and to design and develop…
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AIML Research Associate

Analytical Mechanics Associates, Inc. -
Hampton, VA

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Job Details

Part-time
$23.10 - $33.50 an hour

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Tuition reimbursement
Vision insurance
401(k) matching

Qualifications

AI models
Content creation for technical audiences
Tooling
Machine intelligence
Software documentation
Technical writing within technology
Model evaluation
Data analysis software

Full Job Description

Job Description:

AIML Researcher — NASA AiTHENA (Artificial Intelligence Training and Hands-on Experience at NASA) Program

Overview

The AiTHENA Program supports NASA researchers by pairing high-impact technical projects with AIML talent to accelerate mission-relevant capability development. We are seeking an AIML Early Career Professional (ECP) to contribute to applied machine learning, data workflows, and prototype development across NASA research projects (e.g., digital twin enablement, predictive analytics, automation, and decision support tools).

This role is designed for someone who can operate in a research environment: translate ambiguous technical needs into tractable AIML tasks, build reproducible prototypes, and communicate results clearly to technical stakeholders.

Remote and in-person candidates will be considered.

The hourly pay range for this position is $23.10 - $33.50 depending on locality.

What You’ll Do

Collaborate with NASA project mentors and technical teams to define AIML problem statements, success metrics, and validation plans.
Develop and evaluate ML models (e.g., regression/classification, time series, anomaly detection, NLP, computer vision—based on project needs).
Build reproducible data pipelines for ingestion, cleaning, feature engineering, labeling, and dataset versioning.
Prototype and deliver proof-of-concept tools (scripts, notebooks, small applications, dashboards, or APIs) that can be transitioned to the mentor team.
Apply sound practices for experimentation: baselines, ablation studies, cross-validation, and uncertainty/error analysis.
Document methods, assumptions, limitations, and recommendations in clear technical writeups.
Contribute to best practices for trustworthy/robust ML (data leakage prevention, bias checks, model monitoring considerations, and traceability).
Participate in AiTHENA technical exchanges, demos, and closeout deliverables.

Required Qualifications

Bachelor’s degree (or higher) in Computer Science, Engineering, Applied Math, Data Science, Physics, or a related field—or equivalent demonstrated experience.
Demonstrated experience building AIML models and evaluating performance using appropriate metrics.
Proficiency with Python and common data/ML tooling (e.g., NumPy, pandas, scikit-learn; familiarity with PyTorch or TensorFlow is a plus).
Experience working with real-world datasets (messy data, missing values, outliers, labeling challenges).
Ability to communicate technical content clearly (documentation, presentations, or technical memos).
Strong organizational skills and the ability to manage tasks independently in a fast-paced research environment.
U.S. Citizenship or Permanent Residency required for in-person positions
Remote positions are open to all those authorized to work in the U.S.

Preferred Qualifications

Experience with one or more of the following:
- Time series modeling, forecasting, and anomaly detection
- NLP (document classification, information extraction, RAG-style workflows)
- Computer vision (segmentation, detection, image enhancement)
- Physics-informed ML or surrogate modeling
- Experiment design and uncertainty quantification

Familiarity with software engineering practices: Git-based workflows, unit testing, code review, packaging; Containerization (Docker) and/or workflow automation
Experience with cloud/HPC environments and MLOps concepts (CI/CD, model versioning, monitoring) is a plus.
Exposure to “high assurance” or safety/mission-relevant development practices (traceability, verification, controlled environments).
Graduate students enrolled in a PhD or Master's program in Computer Science, Data Science, or related fields or career transitioners/ early career professionals
Living within a reasonable commuting distance from NASA center for project selected for: Langley Research Center in Hampton, VA NASA Katherine Johnson IV&V Facility in West Virginia, NASA Ames Research Center in Mountain View, Ca, or NASA HQ in Washington, D.C.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.

AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. .

AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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computer scientist jobs in norfolk va

AIML Research Associate

Research Assistant/ Associate Professor (Non-Tenured)

Postdoctoral Research Associate 26-013

EPSCI DAQ Scientist I

High Performance Computing Scientist

Sr. Emerging Technology Assessment Lead (N)

Research (Associate) Professor in the Department of Clinical and Translational Sciences| (Non-Tenure Track , Position F1086A)

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