Job Details:

Job Description: 

Who we are?

AI Solutions Group : Transforming Intel with AI
The Artificial Intelligence Group at Intel is the leading group at Intel that creates state-of-the-art artificial intelligence (AI) capabilities. It includes 200 Data Scientists, Machine Learning Engineers, and AI Product Managers and Analysts, most of them are located in Israel.
We deliver internal and external AI capabilities to transform the most critical business processes at Intel, from processor RD, through manufacturing to sales and more. We have over 500 AI algorithms in products that create a competitive advantage for Intel and influence almost every processor that Intel provides, yielding over 1B in extra revenue or reduced costs. In addition, we offer self-service AI platforms and professional services to cater to the growing demand for AI across the company.

Our Data Scientists
We have the dream job for Data Scientists: We solve high-value business problems using many diverse datasets; We analyze images, text, time-series, and tabular data and utilize cutting-edge methods from various AI domains, including classical Machine Learning, Deep Learning, Reinforcement Learning, and more; We're using a variety of tools (e.g., TensorFlow, PyTorch, Scikit-learn, PySpark). Our Data Scientists are the core of any new solution we develop and they are involved in all the AI aspects of the project: from ideation and problem formulation, through the state of the art research for developing the models, to preparing the production models for deployment. Our large community of over 50 Data Scientists enables you to work and learn with great minds, participate in internal seminars and courses and take part in leading professional conferences, thus ensuring you'll constantly grow your skills and knowledge.

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.

Qualifications:

What we are looking for?
Top-notch MSc/Ph.D. student focusing on Machine Learning / Deep Learning, including a thesis in this field.
Relevant disciplines of studies: computer science, engineering, or statistics.
Strong ML/DL knowledge + experience in solving data science problems using these methods.
Highly motivated to solve real-world problems and create a high impact in practice.
Substantial experience in programming in Python.
Acquaintance with AI-related tools, such as TensorFlow, PyTorch, Scikit-learn, and PySpark.
Team player with great communication skills, who can also work independently and methodically.
Capacity to work at least 20 hours a week, and studies expected to continue for at least 1.5 years.

Job Type:

Student / Intern

Shift:

Shift 1 (Israel)

Primary Location: 

Israel, Petah-Tikva

Additional Locations:

Israel, Haifa

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

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.