Remote Optimization Scientist, Large-Scale Networks & ML

Aalyria; United States; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Equity options

Health insurance

Dental insurance

Vision insurance

Life insurance

401(k) retirement plan

Paid time off

Job summary

Aalyria, a leading technology company delivering laser communications and temporospatial software-defined networking for aerospace, seeks a Research Scientist to advance scalable optimization for large resource allocation problems. You will partner with software engineers to translate research into production-ready capabilities, publish at top conferences, and contribute to patent applications.

This role offers a flexible hybrid remote/in-office arrangement across the United States with

Qualifications

• PhD or 3+ years of equivalent research experience in CS/engineering/math/statistics
• Strong Python and Linux proficiency
• Track record of publishing in leading venues
• Self-motivated with proactive work style
• Experience with ML or optimization libraries and related tools
• Experience with network science, graph theory or dynamic graphs and metaheuristics

Responsibilities

• Specify, research, design and develop scalable optimization algorithms for large, complex resource allocation problems.
• Apply machine learning, integer optimisation, metaheuristic, or related methods to improve solution quality and speed.
• Collaborate with researchers and engineers to translate research into production capabilities.
• Evaluate new approaches against realistic problem sizes, constraints, and performance requirements.
• Publish at leading international conferences and contribute to patents.
• Develop and maintain documentation for novel algorithms.

Skills

Python

Linux

Publication track record

Self-motivated

Education

PhD or 3+ years equivalent research experience

Tools

PyTorch

TensorFlow

JAX

Gurobi

CBC

OR-Tools

Ray

Job description

Aalyria, a leading technology company delivering laser communications and temporospatial software-defined networking for aerospace, seeks a Research Scientist to advance scalable optimization for large resource allocation problems. You will partner with software engineers to translate research into production-ready capabilities, publish at top conferences, and contribute to patent applications.

This role offers a flexible hybrid remote/in-office arrangement across the United States with