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Biology Machine Learning Intern Jobs in Seattle, WA

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Work closely with agronomists and farmers to understand crop biology and translate domain knowledge ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Work closely with agronomists and farmers to understand crop biology and translate domain knowledge ...

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA · On-site

ML PhD Intern - LLMs & Generative AI Truveta is the world's first health provider led data platform ... This Opportunity We are looking for machine learning experts who can utilize applied science and ...

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA · Remote

ML PhD Intern - LLMs & Generative AI Truveta is the world's first health provider led data platform ... This Opportunity We are looking for machine learning experts who can utilize applied science and ...

Meta

Research Scientist Intern, AI Alignment

Bellevue, WA · On-site

$7.6K - $12K/mo

Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ... D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical ...

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All JobsBiology Machine Learning Intern JobsBiology Machine Learning Intern Jobs in Seattle, WA

Biology Machine Learning Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do biology machine learning intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for biology machine learning intern in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

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.

What kinds of projects does a biology machine learning intern 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 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 are popular job titles related to Biology Machine Learning Intern jobs in Seattle, WA?

For Biology Machine Learning Intern jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Biology Machine Learning Intern jobs in Seattle, WA look for?

The top searched job categories for Biology Machine Learning Intern jobs in Seattle, WA are:

Biology Machine Learning Intern jobs near you
Infographic showing various Biology Machine Learning Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Tacoma, WA

Full-time

Re-posted 13 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply