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.