Machine Learning Engineer - Spacetime UK - Aalyria Technologies, Inc.

About Aalyria:

Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar and deep-space communications. We are revolutionizing the orchestration and management of planetary mesh networks using any radio or optical spectrum, any orbit, and any hardware across land, sea, air, and space.

Role Overview:

Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. This role will involve applying cutting-edge machine learning algorithms to solve some of Spacetime’s most challenging temporospatial networking and resource management problems. The ideal candidate should demonstrate not only technical depth in machine learning but also the ability to communicate clearly with others at different levels of technical depth and across different functions.

Key Responsibilities:

• Research state-of-the-art machine learning algorithms to solve network orchestration problems.
• Develop machine learning training infrastructure using kubernetes clusters, and managing MLOps tooling.
• Develop and maintain documentation related to novel algorithms developed by the team.
• Integrate AI technology with other components of the Spacetime platform to ensure end-to-end functionality.
• Interact with potential and existing customers on a regular basis, serving as a technical communication expert for machine learning related technologies developed at Spacetime.

Required Qualifications:

• Masters or PhD degree in computer science, mathematics, statistics, or other fields related to machine learning.
• Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools)
• Strong technical communication skills, and ability to communicate across multiple functions.
• Ability to write clean, maintainable, and efficient code.
• A strong desire to pitch and sell our amazing technology!

Preferred Qualifications:

• Experience working in the wireless communication, satellite communications and/or software defined networking space.
• Prior experience working in technical sales and/or pitching new products.
• Experience writing tests for both software and machine learning algorithms.
• Experience with one or more of: C, C++, Go.

What We Offer:

• Opportunity to lead high-impact, innovative projects in the space technology and digital infrastructure domain.
• A dynamic, international environment collaborating with l