Explainable AI Internship (w/m/d)

Job Details:

Job Description: 

Join Our Team as a Student Intern in Applied Artificial Intelligence

We are excited to offer a student internship position (w/m/d) aimed at enhancing our research capabilities in the field of applied Artificial Intelligence. This role is perfect for those passionate about advancing AI interpretability and transparency, particularly in large-scale Vision-Language Models (VLMs).

Key Responsibilities

• Advance AI Interpretability: Focus on improving the interpretability of AI models to ensure transparency and trust in VLMs for real-world applications.

• Integrate Explainable AI (XAI) Techniques: Train and evaluate VLMs while incorporating cutting-edge XAI techniques for real-time inference.

• Contribute to AI Tools: Work on embedding explainability into AI tools such as Intel's OneAPI and OpenVINO, enhancing model interpretability, efficiency, and reliability.

• Optimize AI Models: Utilize your expertise in model compression and quantization to enable optimized deployment of AI models on resource-constrained systems.

• Adapt XAI for Safety-Critical Applications: Ensure AI-driven decisions are understandable and trustworthy, particularly in autonomous mobile systems.

Why This Role is for You

If you are passionate about making AI models more interpretable and driving real-world impact in AI transparency, this internship offers a unique opportunity to contribute to significant advancements in the field.

Additional Information

This internship will provide you with the chance to work on projects that are at the forefront of AI research and development, offering valuable experience in a dynamic and innovative environment.

For more information on our AI initiatives and tools, you can explore the following resources:

• Intel AI Everywhere

• Intel AI Developer Program

We look forward to your application and the potential to work together on groundbreaking AI projects.

Qualifications:

Required Qualifications

-Educational Background: Currently pursuing a master's degree in computer science, neuroscience, electrical engineering, or a related field.

-AI and Programming Skills: Strong understanding of AI models and practical experience in programming with PyTorch.

-Mathematical Proficiency: Proficiency in advanced linear algebra, with a solid technical background in mathematical concepts.

-Unix/Linux Experience: Experience with Unix/Linux systems, including shell scripting and command-line operations.

-Language Skills: Fluent in English; proficiency in German is a plus.

Advantageous Qualifications

-Neuroscience and AI Integration: Integration of neuroscience with explainable AI in computer vision enhances comprehension of both biological vision systems and AI interpretability, fostering innovative insights at the intersection of these fields.

-SLURM Workloads: Experience with SLURM workloads.

-Uncertainty Estimation: Familiarity with uncertainty estimation techniques of AI models.

-Research Experience: Previous involvement in computer vision research, familiarity with LLM models, and knowledge of explainable AI techniques.

          

Job Type:

Student / Intern

Shift:

Shift 1 (Germany)

Primary Location: 

Germany, Munich

Additional Locations:

Business group:

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.