Remote Dev Jobs
2 jobs available
RedMimicry GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
We are building a new capability that turns fragmented, noisy security logs into explainable, AI-powered threat analysis, delivered inside the RedMimicry platform. As Senior AI/ML Engineer at RedMimicry, you will lead the applied AI/ML work behind new analysis capabilities for our breach and attack emulation platform. The core challenge is extracting useful structure from heterogeneous, partially unstructured security telemetry and relating it to known attacker activity. The problem is broader than prompt engineering. You will determine where LLMs, embeddings, retrieval, learned ranking, and deterministic heuristics are justified. The standard is measurable improvement against reproducible baselines, not architectural fashion. Everything you build must operate under realistic latency, reliability, and deployment constraints. This is a fixed-term position running until 31 October 2027. Tasks Develop Security-Log Parsing Methods: Design and implement methods for extracting typed events from heterogeneous SIEM, EDR, NDR, operating-system, and network telemetry. Design Embeddings and Retrieval: Select, evaluate, and tune representations and retrieval methods for security events. Handle Ambiguity Explicitly: Implement confidence scoring, calibration, and controlled treatment of ambiguous evidence. Ground Results in Evidence: Ensure that results are supported by traceable evidence from the original telemetry. Build Rigorous Evaluations: Define datasets, baselines, ablations, and metrics, and analyse failure modes systematically. Optimise Inference: Make the pipeline practical for cloud operation and on-premises deployment. Productise the Research: Work with backend, integration, and offensive-security engineers to turn experimental methods into maintainable services. Document the Work: Produce clear experiment records, architecture decisions, and technical reports. Contribute to Academic Research: Contribute, at minimum as a co-author, to an academic research paper publis
RedMimicry GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
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. This is a fixed-term position running until 31 October 2027. Tasks 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. Requirements 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 ski