Applied Scientist II, AI Research & Education

Applied Scientist II, AI Research & Education

Job Description:

Join a dynamic team at the forefront of AI research and education, where you will engage in optimizing foundation models for inference in a collaborative and innovative environment. You will be responsible for inventing, implementing, and deploying advanced machine learning algorithms and systems to enhance the performance of foundation models. Your role will require close interaction with product organizations and collaboration with the academic and research communities, ensuring that your work directly impacts a diverse range of applications and customers. We are looking for individuals who are not only technically proficient but also passionate about leveraging cutting-edge technology to drive progress in the field. If you are excited about the opportunity to make a significant contribution to AI research and education, we invite you to apply.

IT Languages:

• Java
• C++
• Python

As an Applied Scientist II, you will engage in a range of tasks focused on the enhancement and optimization of foundation models.:

Develop and implement state-of-the-art machine learning algorithms aimed at improving model inference., Collaborate with product teams to understand and address customer needs through innovative AI solutions., Engage with the academic and research community to stay updated on the latest advancements and integrate them into practical applications., Utilize compiler techniques, high-performance computing, and computer architecture methods to optimize model execution., Conduct experiments and analyze results to drive continuous improvement in model performance and efficiency.

Spoken Languages:

• English, German

Skillset:

• Machine Learning
• Deep Learning
• Mathematical Optimization
• High-Performance Computing
• Parallel and Distributed Computing
• Programming in Java
• C++
• Python
• Experience with PyTorch

Qualifications:

• PhD in Computer Science
• Computer Engineering
• Machine Learning
• or a related field
• or a Master's degree with relevant experience.
• Demonstrated experience through patents or publications in top-tier peer-reviewed conferences or journals.
• Proficient in programming languages such as Java
• C++
• and Python.
• Strong background in machine learning and mathematical optimization.
• Experience with high-performance computing and parallel/distributed computing.
• Solid technical understanding of modern deep learning architectures
• particularly Transformers.
• Familiarity with deep learning frameworks like PyTorch.

Years of Experience:

5

Location:

Tübingen, Baden-Württemberg, Germany, EU

Job Benefits:

• Flexible working conditions and work-life balance.
• Opportunities for continuous learning and professional development.
• Inclusive team culture that celebrates diversity.
• Access to mentorship programs and career advancement resources.

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• The company fosters an inclusive environment where learning and curiosity are encouraged. Employee-led affinity groups contribute to a culture of belonging
• allowing individuals to take pride in their differences. The organization emphasizes ongoing education and discussions around diversity
• ensuring a supportive workplace for all employees.

Opportunities For Advancement:

• Career development programs.
• Mentorship opportunities.
• Participation in groundbreaking AI research projects.

Visa Sponsorship:

Available