BMW - Internship in the area of artificial intelligence and machine learning

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

Munich

Overview

We, the BMW Group, offer you an interesting and varied internship in an innovative area of Artificial Intelligence (AI) and software development for customer functions.

Details

THE FUTURE WILL NEVER SIMPLY WORK IN THEORY.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

What awaits you?

As part of an experienced AI team, you support a real development project.
You support the AI team in collecting, analyzing and interpreting complex data sets from vehicle sensors.
You will help in developing statistical and Machine Learning models and evaluating performances.
Collaborate with cross-functional teams to identify opportunities for data-driven improvements.
Present findings and insights to management and the team.
Participate in the development of new tools and techniques for AI.

Opportunity is About

Computers & IT Engineering

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

What should you bring along?

Pursuing a degree in Machine Learning, Data Science, Computer Science, Statistics, or related fields.
Good knowledge of at least one programming language, ideally Python, and GIT.
Good theoretical understanding and practical skills in statistical and machine learning techniques, including Machine-Learning and Deep Learning libraries and cloud computing platforms like AWS or Microsoft Azure.
Strong analytical skills and ability to manipulate and analyze large datasets, knowledge of SQL.
Strong problem-solving skills and ability to work independently and as part of a team.
Excellent communication skills and ability to present complex information in a clear and concise manner.

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

What do we offer?

Comprehensive mentoring & onboarding.
Personal & professional development.
Work-Life-Balance & flexible working hours.
Mobile work.
Attractive remuneration.
Apartment offers for employees (only Munich).
And many other benefits

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