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Intel

AI Software Engineering PhD Intern

Intel is hiring an AI Software Engineering PhD Intern in Phoenix, United States. It pays $171k a year and Level rates it ; you can apply on Intel.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions PyTorch, TensorFlow and MLOps among its tools and skills.
  • Level classes it as an internship.
  • Intel has 789 other open roles on Level.
  • Posted in the last few days.

AI in this role

pytorchtensorflow
ml-opscomputer-vision
Job Details:

Job Description: 

Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware - software integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as system level deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands-on experience and projects that support Intel business goals in a collaborative environment.

Qualifications:

Minimum Qualifications

  • PhD Candidate from an accredited engineering or computer science program with emphasis on Artificial Intelligence, in particular on topics related to federated learning, image classification, or multiscale attention for object detection, computer vision, image processing, and feature engineering. Minimum 3.0 GPA or higher and proven track record of academic success.
  • Research/Course work on explainability tools
  • Data engineering and preparation: data engineering, feature engineering, data imbalance, noisy dataset
  • Strong grasp of linear algebra, statistics, and probability.
  • Strong analytical, problem-solving, communication skills. Self-motivation, and teamwork.
  • Experience or skills in the following languages:  Python, C++, PyTorch, TensorFlow, and OpenCV
  • Familiarity with Git, cloud, cloud concepts, containers, docker and MLOps.

Preferred Qualifications

  • Experience in deploying AI applications in production environments, requiring high levels of precision and accuracy.
  • Experience in working within the semiconductor industry or similar.
  • Research: First-author publications in top CV conferences (CVPR, ICCV, NeurIPS).
  • A portfolio with projects in CV/Image AI (e.g., open-source contributions, research papers/projects)

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

US, Oregon, Hillsboro

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

 

 

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

AI Software Engineering PhD Intern at Intel rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionPyTorchTensorFlow

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used TensorFlow hands-on?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Computer vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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