AI Engineer – Research Algorithm/Model Expert (Scientific Brain Domain)

We are building teams to develop cutting-edge sustainable and affordable technologies to improve energy efficiency, protect the environment, and mitigate climate change. Our ability to excel depends on the integrity, knowledge, skill, imagination, passion, and teamwork of people like you. Currently we have openings for leading experts with a range of focus areas including energy, chemistry, and artificial intelligence. We offer competitive compensation packages and excellent benefits.

# **Key Responsibilities:**

1. Develop AI algorithms and technologies to optimize predictive models and improve materials development strategies, thereby accelerating the discovery and optimization of catalysts.

2. Apply robotics-based high-throughput experimentation to rapidly synthesize and test a vast array of catalyst candidates, expediting the identification of highly efficient catalysts.

3. Use AI algorithms to analyze chemical data, predict the properties of potential catalysts, and support the design of new catalysts with improved activity and selectivity.

4. Employ AI-based computational modeling techniques to predict catalyst behavior at the atomic level, simulate reactant adsorption, activation, and reaction pathways, identify promising catalyst candidates, and guide experimental work toward the most effective design directions.

# **Qualification Requirements:**

1. Master’s degree or higher in a relevant field (e.g., Artificial Intelligence, Computer Science, Chemistry, Chemical Engineering, Materials Science, Energy Engineering, Electrical Engineering).

2. Professional experience in AI algorithms or related research/industry projects.

3. Deep understanding of Transformer architectures and their variants; familiarity with large models such as BERT, GPT, and LLaMA.

4. Experience with distributed training, model parallelism, and model compression.

5. Proven experience in large model development and optimization; proficient with frameworks such as ChatGPT, DeepSpeed, Megatron; knowledge of RLHF and PEFT.

6. Strong research track record with publications in top international conferences/journals, or highly cited research outputs/patents.

7. Excellent project management and problem-solving skills, with the ability to collaborate effectively in interdisciplinary and multicultural teams.

8. Very good English skills are required; German and/or Chinese is an advantage.

Join us and become a leader in driving clean energy innovation, together shaping the brilliant future of the new energy sector!

# **We Offer**

• **Competitive compensation and benefits:** We offer an attractive compensation package based on the responsibilities of the role, the candidate’s qualifications, relevant professional experience, and overall fit. Additional benefits and supplementary payments may be granted in accordance with company policies and individual eligibility.
• **Excellent research environmen**t\*\*:\*\* Sufficient research funding and access to advanced digital tools and innovative technologies.
• **Innovative workplace:** Exciting and diverse tasks in an international R&D setting with a collaborative, open atmosphere.
• **Room for creativity:** Freedom to contribute your own ideas and actively shape forward-looking solutions in sustainable energy, technology, and organizational development.
• **International collaboration:** Interdisciplinary projects and partnerships with renowned academic and industry players across Europe, including opportunities for international exchange.
• **Career development:** Tailored training programs, individual career pathways, and support for participation in professional events and confe

# **Application process:**

Please send your application documents by email to

Subject line: “[Position] – [Your Name]”.

• *Your application should include:**
• CV (including information/listing of representative research projects for R&D positions)
• University certificates / transcripts (if available)
• Reference letters from previous employers (if available)

By submitting your application, you consent to the processing of your data for the purpose of the recruitment process.

All documents will be treated confidentially in accordance with GDPR. We retain applications for up to six months after completion of the recruitment process, unless you give explicit consent for longer storage.

For questions regarding the position or the application process, please contact our Recruiting Team:

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026