Machine Learning Engineer

Principal Machine Learning Engineer, Advanced Network Orchestration

We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management. This role involves applying cutting‑edge ML research to solve critical network orchestration challenges. If you excel at translating novel algorithms into robust, high‑impact systems, this is your opportunity.

• ML Research:
  Research and apply state‑of‑the‑art ML and optimization algorithms for network orchestration.
• MLOps & Infra:
  Develop and maintain ML training infrastructure using Kubernetes and advanced MLOps tooling.
• System Integration:
  Integrate AI technology with core platform components, ensuring end‑to‑end functionality.
• Technical Authority:
  Act as the technical expert on ML technologies, interacting directly with customers and partners.
• Documentation:
  Develop and maintain documentation for novel algorithms.

• Education:
  
  Master’s or Ph.D. in CS, Math, Statistics, or a related quantitative field.
• ML/Optimization Fluency:
  Expertise in Python and proficiency with PyTorch, Tensor Flow or optimization libraries (Gurobi, Google OR tools).
• Code Quality:
  Ability to write clean, maintainable, and efficient production code.
• Communication:
  Strong technical communication skills across all functions.
• Impact Drive:
  Desire to pitch and advocate for the technology.

• Experience in wireless/satellite communications or Software‑Defined Networking (SDN).
• Prior experience in a technical sales or customer‑facing role.
• Experience writing tests for software and ML algorithms.
• Proficiency with C, C++, or Go.

Seniority level:
Not Applicable

Employment type:

Full‑time

Job function:
Engineering and Information Technology

Industries:
Executive Search Services