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Intern Machine Learning Software Engineer

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Arm

18d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Austin

AI generated summary

  • You should be pursuing a Master’s or PhD in a relevant field, have coding skills (Python, C/C++), experience in ML with PyTorch/TensorFlow, strong problem-solving abilities, and good communication skills.
  • You will develop performance tests for various ML workloads, create analysis reports, contribute to open-source projects, and produce proofs of concept for demos and community education.

Requirements

  • Are currently enrolled and studying towards a Masters or PhD degree in Electronics Engineering, Computer Engineering, or Computer Science (other degrees may also be considered based on experience). Candidates with alternative degrees will also be considered if they have relevant experience.
  • Experience with languages like Python, C/C++, etc.
  • Creative debug and problem solving
  • Experience in ML: Performance analysis and optimization, building models, fine-tuning, RAG, and model training
  • Experience with PyTorch/TensorFlow and Hugging Face Libraries
  • Good communicator (written and presentations)

Responsibilities

  • Developing performance tests on a variety of ML workloads including LLMs, CNNs, RNNs, Diffusion models, traditional ML, etc.
  • Delivering workload performance analysis reports in written and presentation form
  • Contributing Arm performance improvements to ML open-source projects
  • Developing proof of concepts that are used for performance analysis, demos, How-Tos, and educating the engineering community on Arm technology

FAQs

What is the job title for this position?

The job title is Intern Machine Learning Software Engineer.

Where is the job located?

The job is located in Austin, Texas.

What educational qualifications are required for this internship?

Candidates should be currently enrolled and studying towards a Masters or PhD degree in Electronics Engineering, Computer Engineering, or Computer Science. Alternative degrees may also be considered based on relevant experience.

What technical skills are preferred for this role?

Preferred skills include experience with programming languages like Python and C/C++, familiarity with machine learning concepts, and experience with PyTorch, TensorFlow, and Hugging Face Libraries.

What types of machine learning workloads will the intern work on?

The intern will develop performance tests on various ML workloads including LLMs, CNNs, RNNs, Diffusion models, and traditional ML tasks.

How will the intern's work performance be reviewed?

Interns can expect regular feedback and development opportunities throughout their internship.

What is the pay structure for this internship?

This is a non-exempt hourly role, and interns will be paid at an hourly rate based on the number of hours worked, varying by location and educational level.

What kind of support is available during the recruitment process?

Arm provides accommodations for applicants who need support, ensuring confidentiality and appropriate arrangements during the recruitment process.

Is there an opportunity for future employment after the internship?

Yes, interns will be considered for future Graduate positions based on their performance during the internship.

How does Arm approach hybrid working?

Arm's approach to hybrid working allows groups/teams to determine their own working patterns while balancing performance and personal wellbeing. Specific details will be shared upon application.

Is Arm committed to equal opportunities in the workplace?

Yes, Arm is an equal opportunity employer committed to providing a diverse environment and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Engineering & Construction
Industry
5001-10,000
Employees
1990
Founded Year

Mission & Purpose

Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.