Machine Learning Engineer Student for AI Solutions Group
Core
Design and development of machine-learning algorithms and big data technologies to support Intel's global chip development and AI solutions.
Role type
Student Machine Learning Engineer
Builds
AI solutions for silicon development and chip manufacturing
Domain
Semiconductor / AI / Big Data
Deliverable
production ML models
Required skills
Machine Learning, Python, SQL, Big Data technologies (Kafka, Hadoop, Kubernetes, Argo, Milvus, Elastic), Git, Jenkins, Docker, Helm
Preferred skills
Experience with DB technologies, Agile software development
Technologies
Kafka, Hadoop, Kubernetes, Argo, Milvus, Elastic, SQL, Git, Jenkins, Helm, Docker
Responsibilities
Design and development phases in product development, business analysis tasks, implementing machine-learning algorithms, exploring big data technologies
Seniority
Student / Intern
Rewrite
## Job Description
### Who We Are?
Intel's AI Solutions Group is at the forefront of innovation, delivering state-of-the-art AI capabilities that power Intel's global chip development. Our team of over 250 AI Engineers, primarily based in Israel, is driving one of the most impactful transformations inside Intel. Over the past few years, we've launched over 1,000 AI solutions, used millions of times each day. In recognition of our impact, the team was honored with Intel's Top Performing Organization Award globally in 2024. We're innovating with advanced techniques in AI and Generative AI, redefining how silicon development is done. We are deeply committed to the growth and development of our people. If you're a brilliant, curious, and kind-hearted individual looking to work on meaningful AI challenges—this is the place to thrive.
### Responsibilities
- Design and development phases in the product development
- High business understanding
- Ongoing business analysis tasks
- Implementing machine-learning algorithms
- Exploring various big data technologies from Kafka, Hadoop ecosystem, Kubernetes, Argo, and various DB technologies (Milvus, Elastic, SQL...)
- Implementation driven by agile software development approaches like continuous integration
- Use of tools like Git, Jenkins, Helm, Docker, etc.
### Requirements
- BSc in Computer science/Software engineering/Information technology or related fields
- Availability: at least 2 years of studies remaining. 3 days per week availability during semesters
- Passion for data and Machine Learning
- Proven knowledge and experience in DB technologies SQL or similar
- Experience in Python
### Nice to Have
- Proven knowledge and experience in DB technologies SQL or similar
- Experience in Python
## Job Type
Student / Intern
## Shift
Shift 1 (Israel)
## Primary Location
Israel, Petah-Tikva
## Additional Locations
## Business group
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.
## 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
## 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.
Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.