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Machine Learning Frameworks Intern ( f/m/d ) - DEU - Neubiberg

28 days ago


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Job Opportunity Details

Type

Full Time

Salary

Not Telling

Work from home

No

Weekly Working Hours

Not Telling

Positions

Not Telling

Working Location

DEU - Neubiberg, Germany   [ View map ]

Job Details:

Job Description: 

Intel Data Analytics Acceleration team is looking for a software engineering intern. Team develops oneAPI Data Analytics Library and Intel Extension for Scikit-learn. oneDAL is a powerful library for data scientists that turns large data clusters into meaningful information with advanced analytics algorithms. Intel Extension for Scikit-learn is a drop-in performance boost package for Scikit-learn applications.


You will have a unique opportunity to work in the most promising and rapidly developing area of artificial intelligence and big data analytics and be among those who can influence how new technologies change the world around us.
In this role you will be responsible for development, validation and optimizations of Machine Learning algorithms for modern Intel architectures (both CPU and GPU), their integration into the customers' applications. The team of professionals will be glad to bring you onboard and help you to learn new technologies, gain programming skills in the area of machine learning and data analytics.

What do we offer?

  • A collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best.

  • Competitive pay

  • Diverse and inclusive environment (read more about it here)

  • Being a part of a socially and ecologically responsible company (read more about it here).

  • Dedicated training for you during your first weeks at the company to make your transition into work easier and a personal buddy to help you build your network, answer any questions and integrate you into your position.

  • Opportunities for professional development – wide library of online trainings and learning platforms, support and guidance from your team and manager, and different assignment programs.

  • The possibility to build a lifelong career at Intel.

We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.

Qualifications:

Qualifications:

  • Experience in C and C++ languages

  • Strong mathematical/stat background

  • Basic knowledge in machine learning area


The following qualifications would be an added advantage:

  • Experience with parallelism in shared (Intel TBB, OpenMP) and distributed (MPI, SHMEM, Apache Spark, Dask) memory

  • Experience in Python

Please note that the student needs to be enrolled for the full duration of the student employment.

          

Job Type:

Student / Intern

Shift:

Shift 1 (Germany)

Primary Location: 

Germany, Munich

Additional Locations:

Ireland, Leixlip, Romania, Galati, Romania, Timisoara, United Kingdom, Great Britain

Business group:

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

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.

More Information

Application Details

  • Organization Details
    508 Intel Research & Development Ireland Ltd.
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