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Hourly Machine Learning Intern information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do hourly machine learning intern jobs pay per year?
What is the difference between Hourly Machine Learning Intern vs Hourly Data Science Intern?
| Aspect | Hourly Machine Learning Intern | Hourly Data Science Intern |
|---|---|---|
| Required Credentials | Typically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworks | Usually enrolled in or graduated from a program in Data Science, Statistics, or related areas; proficiency in data analysis tools |
| Work Environment | Tech companies, startups, research labs focusing on ML model development | Organizations applying data analysis to business problems, often in tech, finance, or healthcare sectors |
| Employer & Industry Usage | Commonly used in AI/ML-focused roles within tech industries | Widely used across industries for data-driven decision making |
The Hourly Machine Learning Intern focuses on developing and testing machine learning models, requiring programming and ML-specific skills. In contrast, the Hourly Data Science Intern emphasizes analyzing data to extract insights, often involving statistical analysis and data visualization. Both roles are valuable entry points in data-related fields but differ in technical focus and daily tasks.
Full-time
Posted yesterday
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.