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Machine Learning Biomedical Internship Jobs in Austin, TX

Apple

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Apple

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Apple

Hardware Systems Engineering

Austin, TX · On-site

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Apple

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

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Showing results 21-40

All JobsMachine Learning Biomedical JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Austin, TX

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 Aug 11, 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 Intern - AI Compilers

Tenstorrent University Jobs

Austin, TX • On-site

$50 - $70/hr

Internship

Re-posted 24 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.
This role is hybrid based in Austin, TX
Responsibilities:
  • Develop machine learning graph compiler
  • Participate in the co-design of Tenstorrent's hardware and software stack
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
  • Develop high-performance run-time engine
  • Integrate the Tenstorrent software into leading machine learning frameworks
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications
  • Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

Experience & Qualifications:
  • Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
  • Strong problem solving and analytical skills

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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