Applied Machine Learning Intern
waveworks
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • Washington • United States
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Job Level
Tech Stack
About the role
- Process, clean, and structure large-scale audio/time-series datasets
- Align data with ground truth and validate data quality
- Develop and evaluate modeling approaches for predictive maintenance
- Design and run structured experiments, analyze results, and document findings
- Improve data workflows and evaluation pipelines
Requirements
- Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
- Strong Python skills
- Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
- Comfortable working with real-world, noisy datasets
- Strong analytical and documentation skills
- MS or PhD candidate in a relevant technical field (preferred)
- Experience with audio processing or time-series feature engineering (preferred)
- Familiarity with anomaly detection (preferred)
- Exposure to signal processing concepts (FFT, spectrograms, filtering) (preferred)
- Experience designing and evaluating structured ML experiments (preferred)
- Self-driven and comfortable operating in an early-stage environment (preferred)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonML frameworksPyTorchTensorFlowscikit-learnaudio processingtime-series feature engineeringanomaly detectionsignal processingstructured ML experiments
Soft Skills
analytical skillsdocumentation skillsself-drivencomfortable in early-stage environment
Certifications
MS in Computer ScienceMS in Electrical EngineeringMS in Data SciencePhD in relevant technical field