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 ...
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 ...
Machine Learning Intern
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What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.
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June 2026 Machine Learning Intern (R&D)
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$30 - $35/hr
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June 2026 Machine Learning Intern (R&D)
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Biology 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 biology machine learning intern jobs pay per year?
As of Jun 17, 2026, the average yearly pay for biology 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 Biology Machine Learning Intern, and why are they important?
To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.
What kinds of projects do Biology Machine Learning Interns typically work on, and how do these projects contribute to the team?
Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.
What does a Biology Machine Learning Intern do?
A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.
More about Biology Machine Learning Intern jobs
What cities are hiring for Biology Machine Learning Intern jobs? Cities with the most Biology Machine Learning Intern job openings:
What states have the most Biology Machine Learning Intern jobs? States with the most job openings for Biology Machine Learning Intern jobs include:
What job categories do people searching Biology Machine Learning Intern jobs look for? The top searched job categories for Biology Machine Learning Intern jobs are:
Full-time
Posted 22 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.