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 ...
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 ...
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 ...
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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 ...
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 ...
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 ...
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$30 - $35/hr
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... Biostatistics Intern to be in Irvine, CA. * The Intern term is from May/June to August/September ... Machine Learning Working Group, RWE/Publication Support Team, and R, Python, SAS User Groups. CDS ...
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... Biostatistics Intern to be in Irvine, CA. * The Internterm is from May/June to August/September ... Machine Learning Working Group, RWE/Publication Support Team, and R, Python, SAS User Groups. CDS ...
... Biostatistics Intern to be in Irvine, CA. * The Internterm is from May/June to August/September ... Machine Learning Working Group, RWE/Publication Support Team, and R, Python, SAS User Groups. CDS ...
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Assists in the development and implementation of AI and Machine Learning models. * Performs tasks related to data collection, preprocessing, and data management. * Supports the training, validation ...
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Biostatistics 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 biostatistics machine learning intern jobs pay per year?
As of Jun 6, 2026, the average yearly pay for biostatistics machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Biostatistics Machine Learning Intern, and why are they important?
To thrive as a Biostatistics Machine Learning Intern, you need a strong background in statistics, mathematics, and computer science, usually supported by coursework or a degree in biostatistics, data science, or a related field. Familiarity with programming languages such as R or Python, experience with machine learning frameworks, and knowledge of data analysis tools are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly are essential soft skills. These competencies enable effective data-driven research, accurate model development, and clear collaboration within interdisciplinary research teams.
What does a Biostatistics Machine Learning Intern do?
A Biostatistics Machine Learning Intern assists with applying statistical and machine learning techniques to analyze complex biological or medical data. Their role often involves data cleaning, exploratory data analysis, building predictive models, and interpreting results under the supervision of senior data scientists or biostatisticians. Interns may also help in preparing reports or visualizations and contribute to research projects aimed at improving healthcare outcomes. This position is valuable for gaining hands-on experience in both biostatistics and machine learning in a real-world context.
What types of projects do Biostatistics Machine Learning Interns typically work on, and how do they contribute to the larger research team?
Biostatistics Machine Learning Interns often work on projects involving the analysis of complex biomedical datasets, such as clinical trial data or genomic information. Their responsibilities may include developing and validating machine learning models, performing statistical analyses, and interpreting results in collaboration with data scientists and biostatisticians. Interns regularly present findings in team meetings, contribute to research publications, and may help optimize existing pipelines. This collaborative environment provides valuable exposure to interdisciplinary teamwork and can open doors for future roles in research or industry.
Full-time
Posted 11 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
REQUIRED QUALIFICATIONS
PREFERRED QUALIFICATIONS
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 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.