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Overnight Audio Signal Processing Machine Learning Jobs

Boseallaboutme

DSP Engineer - Audio Tech

Framingham, MA · On-site

$147K - $171K/yr

You will contribute to a broad set of technologies including audio signal processing, speech and ... Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise ...

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Overnight Audio Signal Processing Machine Learning information

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$29.5K

$84.5K

$171.5K

How much do overnight audio signal processing machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for overnight audio signal processing machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Overnight Audio Signal Processing Machine Learning jobs? Cities with the most Overnight Audio Signal Processing Machine Learning job openings:
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What states have the most Overnight Audio Signal Processing Machine Learning jobs? States with the most job openings for Overnight Audio Signal Processing Machine Learning jobs include:
Overnight Audio Signal Processing Machine Learning jobs near you
Infographic showing various Overnight Audio Signal Processing Machine Learning job openings in the United States as of June 2026, with employment types broken down into 11% Full Time, 88% Part Time, and 1% Temporary. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA

Full-time

Posted 10 hours 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.



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