AI/ML & Modeling Engineering Intern

Location: Los Angeles, CA or Louisville, KY

About the work

Support modeling, simulation, AI/ML and anomaly-detection research for AstraSense. 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 AstraSense modeling workflow.

What you bring

• 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.

Useful additional experience

Embedded software, code generation, time-series evaluation or a reproducible research/class project.

Initial project to agree

An 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 context

AstraSense’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 AstraQua

AstraQua is developing a modular autonomy architecture with AQFM as its shared intelligence foundation. Specialized agents contribute perception, reasoning, health and coordination. AstraSense 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 apply

Email your resume, job title and preferred location (Los Angeles, CA or Louisville, KY) to careers@astraqua.com.