Applied Scientist

Applied Scientist

Job Description:

We are seeking innovative Applied Scientists to join our dynamic team, focusing on the development of the next generation of discovery systems. In this role, you will collaborate with cutting-edge technologies in Natural Language Processing, Information Retrieval methods, and Large Language Models. Your expertise will be crucial in identifying and solving complex problems by applying advanced methodologies. You will have the opportunity to design and execute long-term scientific strategies to tackle intricate challenges and ensure that our work remains at the forefront of Information Retrieval innovation. Furthermore, you will be responsible for inventing, implementing, and deploying machine learning algorithms and systems aimed at enhancing the performance of foundational models. This position offers the chance to contribute significantly to pioneering advancements in the field.

IT Languages:

• Java
• C++
• Python

As an Applied Scientist, your responsibilities will encompass a range of tasks aimed at pushing the boundaries of discovery systems and enhancing model performance.:

Develop and refine long-term scientific roadmaps to address complex challenges in the field of Information Retrieval;; Collaborate with teams to invent and implement novel machine learning algorithms and systems;; Optimize the performance of foundational models through various inference optimization techniques;; Conduct research and development to explore new methodologies and technologies in NLP and IR;; Publish findings in top-tier journals and conferences to contribute to the scientific community

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Natural Language Processing
• Information Retrieval
• Deep Learning
• Inference Optimization
• Model Compression
• High-Performance Computing

Soft Skills:

• Problem-solving
• Team collaboration
• Critical thinking
• Communication
• Adaptability

Qualifications:

• PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning or a related field
• Experience with programming hardware accelerators such as GPU, TPU, or Neuron
• Familiarity with inference optimization of foundational models, including techniques such as model compression, architectural optimization, and system-level optimization
• Experience with inference engines like vLLM or TGI
• Knowledge of classical Information Retrieval models including boolean, vector, and probabilistic models is a plus
• Experience with generative machine learning models
• Publications or patents in top-tier peer-reviewed conferences or journals
• Proficiency in programming languages such as Java, C++, Python
• Understanding of modern deep learning architectures, particularly Transformers
• Experience with deep learning frameworks such as PyTorch

Years of Experience:

5

Location:

Germany

Job Benefits:

• Competitive salary
• Flexible working hours
• Remote work options
• Professional development opportunities
• Access to cutting-edge technology and resources

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our company fosters a culture of innovation, collaboration, and continuous learning. We believe in empowering our employees to explore new ideas and push the envelope in technology. A supportive and inclusive work environment is at the heart of our operations, encouraging diverse perspectives to drive creativity and problem-solving.

Opportunities For Advancement:

• Leadership roles in research and development, Opportunities for specialized training and certifications, Potential for cross-department collaborations to enhance skill sets

Visa Sponsorship:

Available