10 months ago
London, United KingdomSenior
Responsibilities
- Research state-of-the-art machine learning algorithms for network orchestration problems.
- Develop machine learning training infrastructure using Kubernetes clusters and manage MLOps tooling.
- Document novel algorithms developed by the team.
- Integrate AI technology with the Spacetime platform for end-to-end functionality.
- Communicate with prospective and existing customers about Spacetime’s machine learning technologies.
- Pitch and sell the company’s technology.
Requirements
- Master’s or PhD degree in computer science, mathematics, statistics, or another machine-learning-related field.
- Fluency in Python and at least one deep learning library or mathematical optimization library, such as PyTorch, TensorFlow, Gurobi, CBC, or Google OR-Tools.
- Strong technical communication skills and the ability to communicate across multiple functions.
- Ability to write clean, maintainable, and efficient code.
- Preferred experience in wireless communication, satellite communications, or software-defined networking.
- Preferred experience in technical sales or pitching new products.
- Preferred experience writing tests for software and machine learning algorithms.
- Experience with one or more of C, C++, or Go is preferred.
Benefits
- Competitive compensation based on experience.
- Pension.
- Health insurance.
- Equity.
- Remote working within the UK under a hybrid working policy with flexible arrangements.
- Opportunity to lead high-impact projects in space technology and digital infrastructure.
- Collaboration with international research centres and industrial partners.
- Exposure to space-ground integration, AI-driven networks, and cloud mission control technologies.
Tech Stack
Categories
