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Machine Learning Biomedical Internship Jobs in Mountain View, CA

BigHat Biosciences

Machine Learning Engineer

San Mateo, CA · On-site

$150K - $200K/yr

We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the ... Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with ...

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Crowe LLP

Machine Learning Intern

San Jose, CA

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

Crowe LLP

Machine Learning Intern

San Francisco, CA

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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All JobsMachine Learning Biomedical JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Mountain View, CA

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 7, 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:

Machine Learning Biomedical Internship jobs near you

Machine Learning Engineer - AI Evaluation & LLM Systems

Socket.dev

Cupertino, CA • On-site

$150 - $230/hr

Other

Re-posted 2 days ago

Job description

DESCRIPTION

As a Machine Learning Engineer, you will build the systems that measure and improve the quality of AI experiences used by millions of people. You will develop machine learning models, evaluation frameworks, and scalable infrastructure that enable teams to understand model behavior, identify regressions, and accelerate the development of large language models and multimodal AI. Working closely with researchers, software engineers, and product teams, you will transform cutting-edge research into production-ready solutions, analyze large-scale datasets, and develop new approaches for benchmarking and improving AI quality. This is a unique opportunity to solve challenging technical problems at the intersection of machine learning, software engineering, and data, while helping shape the future of AI at Apple.


MINIMUM QUALIFICATIONS

MS, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related technical field, or equivalent practical experience. 1–2 years of industry experience, or equivalent academic or internship experience, developing machine learning or AI solutions. Proficiency in Python and familiarity with C++ or another object-oriented programming language. Experience with one or more machine learning frameworks such as PyTorch, TensorFlow, or JAX. Understanding of machine learning fundamentals, including supervised learning, model evaluation, and statistical analysis. Experience working with data processing, model training, or experimentation through coursework, research, internships, or industry projects. Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively in a team environment.


PREFERRED QUALIFICATIONS

Experience with large language models (LLMs), multimodal AI, or generative AI through internships, research, or personal projects. Experience building software or machine learning projects using modern engineering practices (Git, testing, CI/CD). Familiarity with distributed computing, cloud platforms, or large-scale data processing. Publications, open-source contributions, or participation in machine learning competitions. MS or PhD specializing in Machine Learning, Artificial Intelligence, or a related field.

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