Cloud Analytics - Application PhD Intern

Intel is hiring a Cloud Analytics - Application PhD Intern. It pays $138k a year and Level rates it ; you can apply on Level.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, Mlflow and MLOps.
Level files it as an internship.
Level lists 723 other open roles at Intel.
The role was posted in the last few days.

AI in this role

pytorchmlflow

ml-opscomputer-vision

Job Details:

Job Description:

The Role and Impact:

Join our team as a Software Applications Engineering - PhD Intern, where you will gain hands-on experience in developing, deploying, and scaling machine learning (ML)-powered services in a cloud-native environment. You'll play an integral role in creating scalable ML pipelines, optimizing cloud applications, and implementing MLOps practices. This opportunity allows you to collaborate with experienced engineers to bring ML innovations to life in production settings, directly supporting Intel's cutting-edge manufacturing processes.

Business group:

As part of Intel Foundry, you will work within a dynamic group focused on advancing Intel's manufacturing and software capabilities. This team operates at the forefront of innovation, leveraging machine learning and cloud technologies to enhance operational efficiency, performance, and scalability. This role aligns with Intel's broader mission to drive technological transformation and create world-changing advancements.

Key Responsibilities:

Design, develop, and maintain scalable machine learning pipelines for data processing, model training, and inference in cloud and on-premises environments.
Develop and deploy APIs and microservices that interact with various components of ML-powered applications.
Utilize containerization technologies such as Docker and orchestration systems like Kubernetes to package, scale, and manage ML services.
Accelerate deployment cycles using Intel manufacturing's cloud-native ML platforms based on Kubernetes/Rancher.
Implement MLOps best practices, including model versioning, monitoring, and continuous integration/continuous deployment (CI/CD).
Collaborate cross-functionally with software developers, data scientists, and DevOps engineers to integrate ML capabilities into Intel's manufacturing processes seamlessly.
Optimize the performance, latency, and cost efficiency of deployed ML models.

Qualifications:

Minimum Qualifications:

Currently enrolled in Ph.D. program in Computer Science, Software Engineering, or a related technical field.
Strong programming skills in Python, and solid understanding of software engineering principles, including data structures, algorithms, and object-oriented design.
Prior experience working with python client libraries to interact with SQL based databases, optimize queries and perform inserts/updates per application needs.
Hands-on experience with Docker and cloud deployment technologies.
Knowledge of machine learning concepts and the model development lifecycle.
Familiarity with CI/CD tools and practices such as Jenkins, GitLab CI, or GitHub Actions.

Preferred Qualifications:

Prior experience with OpenCV, Pytorch, YOLO and/or VLM models for Computer vision AI/ML projects
Experience with MLOps tools like MLflow or Kubeflow.
Familiarity with Kubernetes and Rancher for orchestration.
Strong problem-solving skills and a passion for building robust, scalable systems.
Demonstrated ability to work collaboratively in a cross-functional team environment.
3.0 GPA or higher is preferred along with previous internship experience in an enterprise environment.

Take the next step in your career and join Intel's innovative team, where your contributions will help shape the future of technology. Apply today to make an impact.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

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: $137,698.00-137,702.00 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 be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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

Cloud Analytics - Application PhD Intern at Intel rates 93 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Key facts

Cloud Analytics - Application PhD Intern is an open job at Intel.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $138k a year.
The role is based in US, Oregon, Hillsboro.
The job was posted on October 19, 2026.
Seniority: intern.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionPyTorchMlflow

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What are the limits of PyTorch that you've run into, and how did you work around them?
What's a project where you used Mlflow hands-on?
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 Mlflow. 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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