Analytical Mechanics Associates
Research Computer Scientist - Artificial Intelligence Machine Learning
Hampton, Virginia
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$6,787 more — $106,787 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $106,787 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Virginia Beach-Chesapeake-Norfolk, VA-NC. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This position will be located on site at NASA LaRC.
- 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.
- We provide a work environment that is engaging, collaborative, and supportive.
Responsibilities
- Develop algorithms to detect, track, and classify uncrewed aircraft systems (multirotor, fixed wing, or VTOL), birds, general aviation vehicles, and commercial aviation vehicles
- Assist in the design and execution of experiments at NASA Langley Research Center and Armstrong Flight Research Center
- Document research results for conference presentation and publication
- AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions.
- AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success.
Requirements
- US citizenship or Permanent Residency is required
- With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions.
Compensation
- 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.
Benefits
- In support of NASA Langley Research Center's Aeronautics Systems Engineering Branch, AMA is seeking highly skilled candidates in the field of Artificial Intelligence / Machine Learning.
- The selected candidate will work with NASA and regulatory authorities on the overall advancement of machine learning with the aviation industry and increase NASA's presence in the field.
- Conduct literature reviews to understand state of the art for machine learning, identifying gaps for aviation
- Leverage previously collected NASA data along with future NASA and external data to evaluate machine learning techniques
- Develop sensor fusion techniques for multiple sensor types using machine learning and traditional fusing techniques
- Evaluate machine learning methodology using traditional machine learning metrics along with proposed aviation metrics by the Radio Technical Commission for Aeronautics (RTCA).
- Assist in the development of machine learning challenges such as those for the Computer Vision Pattern Recognition Conference
- MS or PhD in Computer Science or related computational field with concentrations in artificial intelligence and machine learning
- Demonstrated experience in machine learning through published research papers
- Expertise in machine learning, computer vision, sensor-based data acquisition
Visa & Work Authorization
- US citizenship or Permanent Residency is required
This listing is sourced directly from Analytical Mechanics Associates's careers page and normalized into a canonical job model.