Engineer transformer-based threat detection with optimized inference and dedicated GPU resources in a fully remote Canadian position. Scale models responsibly.
This senior engineering role combines transformer expertise with productive machine learning for adversarial security environments. You will prepare datasets, fine-tune models, evaluate production risks, and deploy controlled releases. The focus includes CPU, memory, latency, throughput, and cost per file across large hosting fleets.
Key Responsibilities: Build reusable training pipelines and dataset tooling
Use GPU resources for parallel experimentation
Move models through shadow deployments and controlled releases
Monitor detection rates and model performance trends
Document architecture, limitations, hardware,



and production results
Requirements: Practical transformer training beyond hosted model APIs
Experience with LoRA, QLoRA, distillation, and quantization
Ability to optimize CPU, memory, throughput, latency, and cost
Familiarity with ONNX, llama.cpp, vLLM, or integer quantization
Ownership from experimentation through production deployment
Bring transformer engineering, GPU-aware experimentation, and inference optimization to production malware detection and continuous model improvement.

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📌 Senior Transformer Engineer Threat Detection (Manitoba)
🏢 Jobgether
📍 Manitoba