Summer Intern, Embedded Machine Learning Engineer (AI/ML)

TL;DR

Embedded Machine Learning Engineer Intern (AI/ML): Developing and optimizing ML models for edge intelligence across Voice, Sense, and Control domains with an accent on rapid prototyping and model compression. Focus on deploying efficient models on constrained embedded systems and integrating AI with mixed-signal hardware.

Location: Hybrid in Austin, Texas

Company

Leading supplier of low-power, high-precision mixed-signal processing solutions for mobile and consumer applications.

What you will do

• Build and test ML models for edge intelligence focusing on audio, sensor, and control signals.
• Design model architectures and contribute to data labeling and synthetic data generation pipelines.
• Implement model compression techniques like quantization and pruning to ensure efficiency on embedded systems.
• Benchmark and evaluate ML prototypes based on current foundation/SLM trends and academic research.
• Collaborate with firmware and silicon engineers to align algorithms with physical hardware constraints.

Requirements

• Currently enrolled in a Master’s or Ph.D. program in Computer Science, Electrical Engineering, or related field with a focus on ML/AI.
• Strong foundational understanding of CNNs, RNNs (LSTMs), or Transformer-based architectures.
• Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
• Basic familiarity with processing time-series, audio, or sensor data.
• Must be based in or able to work from Austin, Texas for a hybrid arrangement.

Nice to have

• Experience with C/C++ or working with resource-constrained hardware (e.g., ARM Cortex-M, ESP32, Raspberry Pi).
• Familiarity with edge deployment toolchains like TFLite or ONNX.
• Research publications in anomaly detection, reinforcement learning, or generative AI for signal processing.
• Contributions to open-source ML projects or active participation in academic labs.

Culture & Benefits

• Hands-on experience in a high-impact "startup" environment (Cirrus Venture Labs) within a large corporation.
• Opportunity to work at the frontier of Edge AI/ML on real-world semiconductor innovations.
• Collaboration with seasoned engineers to turn ambitious hypotheses into validated prototypes.