【XC-AS】Engineering Technologies and Services Japan

Beschreibung:

Job Description

Unit Code: XC-AS/ETS2-JP
Challenging Internship at Bosch Japan! You will get the chance to work for a global player and be a part of a dynamic team where you can gather practical and on-the-job experience with a mix of day-to-day operations and projects.
We are seeking a highly motivated AI Intern to join our team in advancing research/development in machine learning in Advanced Driving Assistance area. You will be responsible for assisting in the design, development, and testing of AI algorithms. You will contribute to the extension of our current project previously published at a top conference. There is also an opportunity to co-author follow-up publications
As an intern, you will work closely with our team to prototype, refine, and evaluate new ideas. This is a great opportunity to gain hands-on research experience and make a meaningful contribution to impactful AI work.

Your task(s) will include:
1. Extend and improve upon our existing ML algorithms
2. Design, implement, and evaluate deep learning models using PyTorch
3. Perform experiments and analyze results to guide findings
4. Assist in dataset preparation, augmentation, and evaluation pipelines as needed

Ihr Profil:

Qualifications

* Required Specialized knowledge:
1. Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, or a related field
2. Strong hands-on experience with PyTorch and deep learning frameworks
3. Able to read and implement academic papers or adapt existing GitHub codebases
4. Solid understanding of computer vision and machine learning fundamentals
5. Proficient in Python
6. Be a communicative, proactive, tenacious and reliable team player!
* Preferred language abilities:
1. Fluent English required
* Preferred skills:
1. Experience with large-scale datasets and model training pipelines
2. Prior research experience in ADAS area (e.g., published papers)
3. Familiarity with 3D vision, geometric deep learning, Lane3D, or multi-view perception (a plus, not required)