Applied Machine Learning Intern

Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site. RESPONSIBILITIES 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 REQUIRED QUALIFICATIONS 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 PREFERRED QUALIFICATIONS MS or PhD candidate in a relevant technical field Experience with audio processing or time-series feature engineering Familiarity with anomaly detection Exposure to signal processing concepts (FFT, spectrograms, filtering) Experience designing and evaluating structured ML experiments Self-driven and comfortable operating in an early-stage environment WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status. WaveWorks is located in downtown Seattle, Washington.