AI/ML & Modeling Engineering Intern AstraQua
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Software Development
Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Los Angeles, CA or Louisville, KY
Apply by email
Application instructions ↓
Support modeling, simulation, AI/ML and anomaly-detection research for Astra Sense. Work may use MATLAB/Simulink, Python or hybrid physics/AI workflows according to project needs and the candidate’s strengths, with attention to reproducibility and low-power embedded integration.
What you will do- Develop and refine system models in MATLAB/Simulink or Python, including inverter, motor and sensor behavior.
- Run physics-based simulations and document assumptions, parameters and the difference between synthetic and measured data.
- Build data-processing and feature-extraction pipelines for electrical, vibration or acoustic signals.
- Prototype anomaly-detection methods using classical ML, small neural networks or hybrid physics/AI approaches.
- Support synthetic fault datasets and model evaluations, including separate training/test runs, false-alarm analysis and uncertainty.
- Assist with C/C++ code generation and embedded integration using Simulink Coder/Embedded Coder or Python-based workflows as appropriate.
- Compare models and algorithms with available lab or field data; record mismatches and evidence gaps.
- Contribute documentation, tests and automation across the Astra Sense modeling workflow.
- Proficiency in MATLAB/Simulink or Python, including relevant scientific libraries.
- Interest or experience in anomaly detection, predictive maintenance or other AI/ML methods.
- Understanding of physics-based modeling, power electronics, controls or signal processing.
Embedded software, code generation, time-series evaluation or a reproducible research/class project.
Initial project to agreeAn initial project could be a versioned simulation dataset and an anomaly-detection baseline for a defined subsystem, with documented assumptions and a repeatable evaluation. Engineering review will determine which conclusions are supported by available data.
Project contextAstra Sense’s aviation development is supported through NASA SBIR work. This role supports that engineering context; funding does not establish certification or validation of every application.
About Astra QuaAstra Qua is developing a modular autonomy architecture with AQFM as its shared intelligence foundation. Specialized agents contribute perception, reasoning, health and coordination. Astra Sense is the health-intelligence agent, with electrified aviation as an initial research application; it connects condition and remaining capability with mission decisions. Our approach to safe AI emphasizes defined operating boundaries, deterministic safety controls, operator authority and behavior designed for verification and validation.
How to applyEmail your resume, job title and preferred location (Los Angeles, CA or Louisville, KY) to
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