AMA
AIMLResearchAssociate
Neural analysis suggests this role is
optimal for Entry candidates.
“AIML Research Associate at AMA. Skills: Machine learning, Data pipelines, Prototype development. Define AIML problem statements. Define success metrics”
Industry & Context.
Translate ambiguous needs; Tractable AIML tasks
U.S. Citizenship or Permanent Residency
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, Demonstrated AIML model building, Python proficiency, Experience with real-world datasets, Communicate technical content clearly, Organizational skills, Manage tasks independently, U.S. Citizenship or Permanent Residency (in-person)
Nice to Have
Time series modeling, Forecasting, Anomaly detection, NLP, Document classification, Information extraction, RAG-style workflows, Computer vision, Segmentation, Detection, Image enhancement, Physics-informed ML, Surrogate modeling, Experiment design, Uncertainty quantification, Git-based workflows, Unit testing, Code review, Containerization (Docker), Workflow automation, Cloud/HPC environments, MLOps concepts, High assurance development, Safety/mission-relevant development, PhD or Master's program enrollment, Career transitioners, Early career professionals, Commuting distance to NASA center
What You'll Do.
Define AIML problem statements
Define success metrics
Define validation plans
Deliver proof-of-concept tools
Apply experimentation practices
Perform ablation studies
Perform cross-validation
Perform uncertainty analysis
Perform error analysis
Document recommendations
Contribute to ML best practices
Consider model monitoring
Participate in technical exchanges
Complete closeout deliverables
How You'll Work.
Team & Collaboration
NASA project mentors; Technical teams
Communication Scope
Technical content; Technical writeups; Presentations; Technical memos
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
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