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Machine Learning Biomedical Internship Jobs in Austin, TX

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Machine Learning Biomedical Internship information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

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

As of Jul 29, 2026, the average yearly pay for machine learning biomedical internship in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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 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 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 popular job titles related to Machine Learning Biomedical Internship jobs in Austin, TX? For Machine Learning Biomedical Internship jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Austin, TX look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Biomedical Internship jobs? Cities near Austin, TX with the most Machine Learning Biomedical Internship job openings:
Machine Learning Biomedical Internship jobs near you
Software Engineer - AiDP Reliability Engineering, IS&T, Early Career Opportunities

Software Engineer - AiDP Reliability Engineering, IS&T, Early Career Opportunities

Apple

Austin, TX

Full-time

Posted 14 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate ML, GenAI, Inference and Data Platforms and Services to provide a comprehensive suite of capabilities-serving business-critical needs across Apple’s enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open source and cutting edge technologies.
We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud environments!
Description
We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data platform. You will:
- Build, enhance, and maintain multi-tenant systems employing diverse technologies
- Collaborate with multi-functional teams to deliver impactful customer features
- Lead projects through full lifecycle, from design discussions to release delivery
- Operate, scale, and optimize high-throughput and highly concurrent services
- Diagnose, resolve, and prevent production and operational challenges
We are looking for enthusiastic engineers with interest in one of the following areas:
- ML Engineers
- Big Data Engineer
- Platform Reliability Engineer","responsibilities":"The successful candidate will be amenable to working in an exciting, fast paced, dynamic, collaborative environment. The person filling this position must be a hands-on, hardworking, self-motivated developer with strong initiative. You will have a real passion for extraordinary user experiences and an eye for details.
Preferred Qualifications
Excellent analytical & problem solving skills
Exposure to Model Training or Fine Tuning methodologies
Exposure to Spark/Flink/Trino/Iceberg and other modern cloud native big data technologies
Exposure to Kubernetes and other cloud native technologies like Flux/Argo CD
Minimum Qualifications
Bachelor’s Degree in Computer Science, Computer Engineering or equivalent technical degree
Proficient programming knowledge in one of the following areas: Python, Java, or Go Programming and ability to read and explain open source codebase
Good foundation of Operating Systems, Networking and Security Principles
Relevant Internship experience

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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