Applied Scientist (m/f/d) – AI / Machine Learning

At SOX-AI GmbH, we’re building AI-powered software to automate financial compliance for large enterprises.

We’re a funded FinTech/RegTech startup growing the R&D team of SOX-AI GmbH in Munich. We develop deterministic AI systems for financially critical processes, where reliability, explainability and reproducibility matter. Our platform is already deployed at NASDAQ

-listed companies.

You’ll join a small, highly technical team with deep research and industry experience in our Munich office, working at the intersection of applied research and a real-world AI product.

In this role, you will

• Research and develop new methods to improve the efficiency, reliability and accuracy of our AI systems.

• Design new rigorous approaches for evaluating and validating LLM-based systems in financially critical processes.

• Develop new methods for analyzing large volumes of business process data, including sequence analysis and the detection of rare anomalies.

• Turn research ideas into working prototypes and collaborate with our engineering team to bring successful approaches into the product.

• Develop intellectual property and contribute to patent applications.

• Build academic collaborations and publish selected research at leading conferences and journals.

• Become an expert of the financial auditing domain and drive the product development.

Who we’re looking for

• A PhD in Computer Science or a closely related field.

• A strong research track record in machine learning, NLP/LLMs, process mining, data mining or a related area with publications of peer-reviewed research.

• Experience in developing complex algorithms

• Strong programming skills in Python and experience implementing and evaluating ML/AI methods.

• Comfortable taking ownership of research projects while collaborating closely with software engineers and domain experts.

• Excellent communication skills in English.

Nice to have

• Research or practical experience with LLM-based systems.

• Experience working with financial, enterprise or other regulated-domain data.

Why SOX-AI?

• Real-world research:

  Work on challenging research problems arising from AI systems deployed in large enterprises.

• Research to production:

  See successful ideas move beyond prototypes and become part of a production system.

• Scientific ownership:

  Shape research directions, develop IP and build collaborations with academic partners.

• Strong team:

  Work closely with experienced engineers, researchers and domain experts.

What we offer

• Up to €125,000 gross annual salary

• Stock options

• Flexible working:

  Hybrid work, modern office in central Munich, MacBook and home-office allowance

• Benefits:

  Deutschlandticket subsidy and fitness membership

Data protection

Information on how we process applicant data is available in our Applicant Privacy Notice: https://www.sox-ai.com/de/datenschutz-bewerber