[Stellenangebote] Multiple Job Openings in AI Safety / Collective Intelligence R&D Projects

[Thomas Kopinski]

Dear Madams & Sirs,

I hope the new year started well! Please, kindly publish the following announcements through your mailing lists:


# Multiple Job openings: Data Engineers, ML Scientists / Engineers

## Project description
We have multiple job openings for R&D projects around AI / ML and are currently hiring junior data engineers and senior machine learning scientists/engineers in two different projects starting 02/2025 and 03/2025. Both projects aim at leveraging SOTA machine learning algorithms in the fields of AI Safety and Collective Intelligence. We offer a competitive salary on university level, an international growing research team (read more here: www.gaia-lab.de) supported by top scientists as well as the potential to pursue a PhD. You will be a part of a large and growing data science team within one of the most exciting research fields in terms of innovation and disruption potential.

## Job Purpose Data Engineer(s)
The Junior Data Engineer will play a crucial role in developing, maintaining, and optimizing our data infrastructure and pipelines. This entry-level position offers an exciting opportunity to work with cutting-edge data technologies and contribute to our data-driven initiatives.

## Job Purpose ML Scientist(s) / Engineer(s)
These senior positions will require persons to implement SOTA ML techniques for world model elicitation with the goals to create safe AI and enable hybrid / collective intelligence. Further, a drive to pursue a PhD is expected and will be supported. To that end, novel methodologies around AI modeling and agent-based systems will have to be developed and essentially be at the core of your research and development.

## Relevant information for Data Engineers

## Key Responsibilities
- Assist in designing, constructing, and maintaining robust and scalable data pipelines
- Support the development and implementation of ETL (Extract, Transform, Load) processes
- Collaborate with data scientists and analysts to understand data requirements
- Help maintain data quality and integrity
- Participate in code reviews and contribute to best practices documentation
- Perform data validation and troubleshoot data-related issues
- Support the migration and integration of data from various sources
- Assist in creating and maintaining data documentation

## Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Information Technology, or related field
- Basic understanding of data engineering concepts
- Familiarity with SQL and database principles
- Basic programming skills in Python or another relevant programming language
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities

## Preferred Skills*
- Knowledge of big data technologies 
- Some Familiarity with data pipeline tools 
- Basic understanding of data modeling concepts
- Experience with BI tools (Tableau, Power BI) | not mandatory
- Knowledge of version control systems (Git)

## Technical Requirements
- Proficiency in SQL
- Basic Python programming skills
- Understanding of relational and non-relational databases
- Familiarity with data transformation techniques


## Relevant information for ML Scientist(s) / Engineer(s)

## Key Responsibilities
- Design and develop advanced machine learning models and algorithms
- Lead research initiatives in areas such as deep learning, natural language processing, LLMs
- Translate complex business problems into machine learning solutions
- Conduct experiments and evaluate model performance using appropriate metrics
- Collaborate with cross-functional teams to integrate ML solutions into production systems
- Stay current with the latest ML research and implement novel approaches
- Mentor junior team members and contribute to the team's technical growth
- Author technical documentation and research papers
- Present findings and results to both technical and non-technical stakeholders

## Required Qualifications
- Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or related field
- Strong foundation in mathematics, statistics, and probability theory
- Extensive experience with machine learning frameworks (PyTorch, TensorFlow)
- Proficiency in Python and related ML/data science libraries
- Demonstrated experience in implementing and deploying ML models
- Strong understanding of deep learning architectures and algorithms
- Experience with large-scale data processing and analysis
- Publication record in top-tier ML conferences is a plus

## Preferred Skills
- Knowledge of MLOps practices and tools
- Experience with GPU programming and optimization
- Understanding of ML model deployment and scaling
- Experience with AutoML systems
- Familiarity with model interpretability methods

## Technical Requirements
- Advanced Python programming skills
- Proficiency in deep learning frameworks
- Experience with version control systems
- Understanding of ML model deployment pipelines
- Knowledge of model optimization techniques
- Familiarity with ML experiment tracking tools


## Salary Range
€60,000 - €65,000 per annum (depending on experience and location), incl. health insurance, incl. social security, added Christmans bonus with an increase p.a.

## Application Process
Candidates should submit:
- Detailed CV/resume
- Research statement
- Links to publications and projects
- Code samples or GitHub portfolio
- References from academic or industry experience


Kind regards
Prof. Dr. Thomas Kopinski