Ripplematch Opportunities

60 Ripplematch Opportunities Machine Learning Intern Jobs Hiring Near You

Past intern projects have been the focus of demos to VCs and state-level policy leaders ... Mentorship opportunities with our world-class team, advisors, and investors * Wellness and learning ...

Past intern projects have been the focus of demos to VCs and state-level policy leaders ... Mentorship opportunities with our world-class team, advisors, and investors * Wellness and learning ...

Past intern projects have been the focus of demos to VCs and state-level policy leaders ... Mentorship opportunities with our world-class team, advisors, and investors * Wellness and learning ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Opportunity for full-time conversion * H1B sponsorship support for eligible candidates * STEM OPT ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Opportunity for full-time conversion * H1B sponsorship support for eligible candidates * STEM OPT ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Opportunity for full-time conversion * H1B sponsorship support for eligible candidates * STEM OPT ...

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Ripplematch Opportunities Jobs Information

Full-time

Posted 16 days ago


Job description

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.