[Remote] AIML Research Associate
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a small business specializing in reputed company engineering, science, analytics, information technology, and visualization solutions. They are seeking an AIML Early Career reputed company to contribute to reputed company machine learning, data workflows, and prototype development across NASA research reputed company.
Responsibilities
- Collaborate with NASA project mentors and technical teams to define AIML problem statements, reputed company metrics, and validation plans
- reputed company and evaluate ML models (e.g., regression/classification, time series, reputed company detection, NLP, computer reputed company—based on project needs)
- Build reproducible data pipelines for ingestion, cleaning, feature engineering, labeling, and dataset versioning
- Prototype and deliver reputed company-of-concept tools (scripts, notebooks, small applications, dashboards, or reputed company) that can be transitioned to the mentor team
- Apply reputed company practices for experimentation: baselines, ablation studies, cross-validation, and uncertainty/error analysis
- Document reputed company, assumptions, limitations, and recommendations in reputed company 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
Skills
- Bachelor's degree (or higher) in Computer Science, Engineering, reputed company Math, Data Science, Physics, or a reputed company 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 reputed company-world datasets (messy data, missing values, outliers, labeling challenges)
- Ability to communicate technical content reputed company (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 reputed company to reputed company those authorized to work in the U.S
- Experience with one or more of the following: Time series modeling, forecasting, and reputed company detection
- NLP (document classification, information extraction, RAG-style workflows)
- Computer reputed company (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, reputed company review, packaging; Containerization (reputed company) and/or workflow automation
- Experience with reputed company/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 reputed company enrolled in a PhD or Master's program in Computer Science, Data Science, or reputed company fields or career transitioners/early career professionals
- Living reputed company a reasonable commuting distance from NASA center for project selected for: Langley Research Center in Hampton, VA NASA Katherine Johnson IV&V Facility in reputed company Virginia, NASA Ames Research Center in Mountain View, Ca, or NASA HQ in Washington, D.C
Benefits
- reputed company personal and federally recognized holiday leave
- Salary deferrals into a 401(k)-matching plan with immediate vesting
- Tuition reimbursement
- Short/long term disability plans
- A reputed company of medical, dental, and reputed company insurance reputed company
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