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.

WaveWorks Technologies Inc remote jobs

General Opportunity - Engineering

Applied Machine Learning Intern