Junior AI/ML Engineer, Data and Evaluation

Location: Mostly remote (within Germany), with monthly in-person collaboration at our Berlin office

Hours: Full-time, 40 hours per week

Contract: Fixed-term

Salary: EUR 50,000 – 56,000

We are building a new capability that turns fragmented, noisy security logs into explainable, AI-powered threat analysis, delivered inside the RedMimicry platform.

As an AI/ML Engineer at RedMimicry, you will build the datasets, benchmarks, and evaluation infrastructure behind our applied AI/ML work on security telemetry.

The quality of this work depends on accurate ground truth, disciplined data handling, reproducible experiments, and systematic error analysis. Your work will determine whether reported improvements are real and whether regressions are caught before deployment.

You will work closely with the Senior AI/ML Engineer and Offensive Security Engineer. This role is suitable for an early-career or intermediate engineer with strong programming and data skills who wants to work on applied AI in a technically demanding cybersecurity environment.

What You’ll Do

  • Curate Security Datasets: Prepare telemetry from controlled engagements and test environments.
  • Build Ground Truth: Create and maintain labelled examples, annotation guidelines, and consistency checks.
  • Maintain Evaluation Partitions: Separate training, validation, and test data along relevant dimensions.
  • Automate Benchmarks: Implement metrics and maintain reproducible benchmark and regression pipelines that run locally and in CI.
  • Run Experiments and Error Analysis: Evaluate models and methods, and identify recurring failure modes and data-quality issues.
  • Maintain Data Quality: Implement schema checks, provenance tracking, deduplication, validation, and dataset versioning.
  • Document Experiments: Produce clear experiment records, plots, tables, and technical summaries that support engineering decisions.

Skills

You do not need to meet every requirement to apply. Strong practical work, research projects, open-source contributions, or a relevant thesis can compensate for limited commercial experience.

  • Programming and Data Work
    • Good Python programming skills
    • Experience with Pandas, NumPy, PyTorch, or similar tooling
    • Ability to process structured and unstructured data reliably
    • Familiarity with Git, automated tests, and reproducible development workflows
  • Machine Learning and Evaluation
    • Working understanding of supervised evaluation, train/test separation, and basic statistics
    • Familiarity with language models, embeddings, retrieval, classification, or information extraction
    • Experience with experiment tracking, benchmarking, or regression testing
    • Ability to distinguish statistically meaningful results from anecdotal examples
  • Data Quality and Annotation
    • Careful handling of labels, provenance, edge cases, and ambiguous examples
    • Experience with dataset annotation or benchmark construction is a plus
    • Ability to write clear annotation and evaluation guidelines
  • Cybersecurity Knowledge
    • Security logs, operating-system telemetry, SIEM, EDR, network data, or incident-response experience is a plus
    • Interest in attacker behaviour, detection, and evidence-based security analysis
  • Education
    • Degree in computer science, data science, machine learning, mathematics, cybersecurity, or a related discipline, or equivalent practical experience
  • Languages
    • English (required)
    • German (a plus)

Other Requirements

  • Existing legal right to work in Germany and primary residence in Germany
  • Clean criminal record certificate
  • Willingness to travel to the Berlin office approximately once per month

Ready to Apply?

We’d love to hear from you! Send your CV (and any additional materials you’d like us to see) to jobs@redmimicry.com.

If you have questions about the role or application process, don’t hesitate to reach out. We look forward to your application!