Staff Machine Learning Engineer (Edge AI)

Location: Taipei, Taiwan

Company

hirify.global develops secure silicon, systems, and AI-driven infrastructure based on its Trusted Control/Compute Unit technology.

What you will do

• Define the end-to-end architecture for MLOps, agentic AI, and model optimization across edge devices.
• Design data processing, versioning, CI/CD, human-in-the-loop, and active-learning pipelines.
• Build lightweight on-device monitoring for operational metrics, inference quality, and concept drift.
• Develop autonomous agents for resource-constrained edge devices using log analysis, computer vision, and open-source system tools.
• Implement model security and verification, including secure protocols, authentication, model signing, entity verification, and injection prevention.
• Collaborate with silicon and RTL teams and optimize models for custom NPU and FPGA inference through graph- and operator-level techniques.

Requirements

• 8–10+ years of hands-on machine learning experience at senior or staff individual-contributor level.
• Expert Python programming and deep experience with PyTorch or TensorFlow.
• Strong understanding of modern ML algorithms, including Transformers.
• Knowledge of computer architecture, digital logic, and RTL development with Verilog or VHDL.
• Experience building complete MLOps lifecycles, developing LLM-based agentic systems, and working with log analysis or computer vision.
• Hands-on experience with on-device model security, secure communication protocols, and hardware-aware optimization for NPUs or GPUs.

Nice to have

• Experience with Apache TVM or MLIR.
• Experience with Kubernetes, Kubeflow, Argo, or GPU scheduling platforms such as Run:AI.
• Embedded development with C++, Rust, or Yocto, and familiarity with RISC-V.
• Experience with AWS, GCP, or Azure.

Culture & Benefits

• Work in a diverse environment focused on curiosity, execution, respect, and continuous learning.
• Collaborate on real-world security and reliability problems across AI, silicon, and infrastructure.
• Join a growing organization with more than 150 employees and commercial programs with Tier 1 industry leaders.