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Machine Learning Biomedical Internship Jobs in Mountain View, CA

Sr. Machine Learning Engineer

San Mateo, CA · On-site

$139K - $184K/yr

... internship Preferred : • Preferred degree in Computer Science, Mathematics or similar courses or fields • A demonstrated experience of working in Machine Learning Jobs before is an added ...

Machine Learning Scientist Department: DS/ML (Data Science/Machine Learning) Employment Type ... Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with ...

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Machine Learning Biomedical Internship information

See Mountain View, CA salary details

$30.1K

$50.2K

$103.8K

How much do machine learning biomedical internship jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning biomedical internship in Mountain View, CA is $50,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,300.00 and $54,300.00 per year, depending on experience, location, and employer.

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What job categories do people searching Machine Learning Biomedical Internship jobs in Mountain View, CA look for?

The top searched job categories for Machine Learning Biomedical Internship jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Machine Learning Biomedical Internship jobs?

Cities near Mountain View, CA with the most Machine Learning Biomedical Internship job openings:

Sr. Machine Learning Engineer

Veryfi

San Mateo, CA • On-site

$139K - $184K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Veryfi is seeking a Sr. Machine Learning Engineer who will sit at the intersection of software engineering and data science. The role involves leveraging big data tools to redefine raw data into scalable data science models, with a focus on machine vision and machine learning in financial services.
Responsibilities:
• Perform statistical analysis
• Fine tuning test results
• Train and retrain systems
• Work on frameworks
• Undertaking machine learning experiments and test
• Designing machine learning programs
• Developing deep learning systems to various use cases based on the business needs
• Implementing suitable AI/ML algorithms
Qualifications:
Required:
• Prior experience with machine vision and machine learning in financial services is essential.
• Knowledge on basics of math and probability
• Good understanding and strong knowledge in algorithms and statistics
• Appreciation of data modelling, software architecture and data structures
• Past experience of working in frameworks in last job or internship
Preferred:
• Preferred degree in Computer Science, Mathematics or similar courses or fields
• A demonstrated experience of working in Machine Learning Jobs before is an added advantage
Company:
Veryfi provides AI-powered document capture, extraction APIs, and fraud detection to automate workflows across any document type. Founded in 2017, the company is headquartered in San Mateo, USA, with a team of 51-200 employees. The company is currently Growth Stage.