Job Details:

Job Description: 

About us:

As part of Intel Incubation and Disruptive Innovation (IDI) team, we develop AI-based products for healthcare.

The team is built as a startup within Intel.

We develop AI algorithms in computer vision, the models are deployed as part of a full product.

What Will You Do?

You will be helping train and deploy AI models on videos/images.

The job will require the research and implementation of computer vision and Deep Learning models.

Qualifications:

- MSc/Ph.D. student focusing on Machine Learning / Deep Learning, including a thesis in this field.
- Specialization in Vision
- Python Programming skills
- Training Deep Learning with known frameworks (Pytorch, TensorFlow)
- Developing tools (ML-Ops, GIT) – Advantage

Job Type:

Student / Intern

Shift:

Shift 1 (Israel)

Primary Location: 

Israel, Jerusalem

Additional Locations:

Business group:

Corporate Strategy Office is chartered to support the executive office in driving corporate initiatives, including near and long-term strategy, major cross-group decision making and ensuring cross-company alignment.  To deliver to that mission, the team owns shaping, driving and synthesizing insights to directionally orient trends as well as long range strategic planning/visioning , cross company alignment and greenfield innovation.  Communications are essential to drive alignment so there is a focus on communications, community and acumen development.  The team is ccommitted to ensuring that Intel efforts are aligned to, and actively driving success toward the most impactful business strategies.

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. In certain circumstances the work model may change to accommodate business needs.