Intel's AI Solutions Group leads innovation, delivering state-of-the-art AI capabilities for global chip development, with over 1,000 solutions launched and millions of daily uses. Honored with Intel's Top Performing Organization Award in 2024, the team redefines silicon development using advanced AI and Generative AI. As a Machine Learning Engineer Student, you will design and develop products, conduct business analysis, and implement machine-learning algorithms, exploring big data technologies and agile software development.

Must Have

• 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

Good to Have

• Passion for data and Machine Learning
• Proven knowledge and experience in DB technologies SQL or similar
• Experience in Python

Perks & Benefits

• Hybrid work model

Job Details:

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. As a MLE in our group, you will be responsible for design and development phases in the product development and expected for high business understanding, ongoing business analysis tasks, and implementing machine-learning algorithms. As part of the design, you will explore various big data technologies from Kafka, Hadoop ecosystem, Kubernetes, Argo, and various DB technologies (Milvus, Elastic, SQL...). The implementation is driven by agile software development approaches like continuous integration, including the use of tools like Git, Jenkins, Helm, Docker, etc.

Qualifications:

What We Are Looking for?

• 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 - Advantage
• Experience in Python - Advantage

#LI-DNI

Job Type:

Student / Intern

Shift:

Shift 1 (Israel)

Primary Location:

Israel, Haifa

Additional Locations:

Business group:

Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.

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.