AIML Research Associate
Analytical Mechanics Associates, Little Rock, AR, United States
AIML Researcher - NASA AiTHENA (Artificial Intelligence Training and Hands‑on Experience at NASA) Program
We are seeking an AIML Early Career Professional (ECP) to contribute to applied machine learning, data workflows, and prototype development across NASA research projects such as digital twin enablement, predictive analytics, automation, and decision support tools. The 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.
Overview
The AiTHENA Program supports NASA researchers by pairing high‑impact technical projects with AIML talent to accelerate mission‑relevant capability development.
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 (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.
Eligibility
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 time series modeling, forecasting, and anomaly detection.
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 a NASA center for the selected project: 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.
Benefits
Competitive salaries and a substantial benefits package, including paid personal and federally recognized holiday leave.
Salary deferrals into a 401(k) matching plan with immediate vesting.
Tuition reimbursement.
Short‑term and long‑term disability plans.
Medical, dental, and vision insurance options.
Equal Opportunity Employer
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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We are seeking an AIML Early Career Professional (ECP) to contribute to applied machine learning, data workflows, and prototype development across NASA research projects such as digital twin enablement, predictive analytics, automation, and decision support tools. The 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.
Overview
The AiTHENA Program supports NASA researchers by pairing high‑impact technical projects with AIML talent to accelerate mission‑relevant capability development.
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 (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.
Eligibility
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 time series modeling, forecasting, and anomaly detection.
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 a NASA center for the selected project: 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.
Benefits
Competitive salaries and a substantial benefits package, including paid personal and federally recognized holiday leave.
Salary deferrals into a 401(k) matching plan with immediate vesting.
Tuition reimbursement.
Short‑term and long‑term disability plans.
Medical, dental, and vision insurance options.
Equal Opportunity Employer
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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