Research Scientist, Optimization Systems

Aalyria
United States
Workplace: RemoteFull timeUSD 120,000 - 150,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: phdSkills: ["Self-motivated","Proactive","Publishing","Collaboration"]

Develop and apply scalable optimization and resource-allocation algorithms for large communication networks. Use machine learning, integer optimization, metaheuristics, and graph/network techniques to improve solution quality and computational efficiency. Collaborate with researchers and software engineers to integrate results into production systems, evaluate approaches on realistic constraints, and publish research and contribute to patents. Work with a growing applied research team supporting aerospace communications at production scale.

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Aalyria
Aalyria
5 hours ago

Research Scientist, Optimization Systems

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Last checked: 5 hours agoStatus: Live

Job Summary

Develop and apply scalable optimization and resource-allocation algorithms for large communication networks. Use machine learning, integer optimization, metaheuristics, and graph/network techniques to improve solution quality and computational efficiency. Collaborate with researchers and software engineers to integrate results into production systems, evaluate approaches on realistic constraints, and publish research and contribute to patents. Work with a growing applied research team supporting aerospace communications at production scale.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Specify, research, design, and develop scalable optimization algorithms for large, complex resource allocation problems.
  • •Apply machine learning, integer optimization, metaheuristics, and related algorithms to improve solution quality and computational efficiency.
  • •Collaborate with researchers and engineers to translate research into commercial product capabilities for production systems.
  • •Evaluate new approaches against realistic problem sizes, constraints, and performance requirements.
  • •Publish at leading international conferences and contribute to patent applications, while maintaining documentation for novel algorithms.

Pay and Benefits

Salary: USD 120,000 - 150,000 annually
Equity and Bonus:Equity
Perks:401kDentalVisionHealth InsuranceLife InsurancePaid Leave

Key Requirements

  • •PhD and/or 3+ years of equivalent research experience in computer science, engineering, mathematics, statistics, or a related field.
  • •Strong skills in Python and working in Linux environments.
  • •Track record publishing in leading venues such as NeurIPS, ICLR/ICML, INFOCOM/IEEE, SIGCOMM, MobiCom, or ICC/GLOBECOM.
  • •Experience with at least one: reinforcement learning/machine learning (PyTorch, TensorFlow, or JAX), integer optimization (Gurobi, CBC, or Google OR-Tools), or network science/graph methods (including geometric deep learning or dynamic graph representation learning).
  • •Ability to work proactively in a self-motivated manner and translate research into practical capabilities at production scale.
Experience:3+ years
Education:PhD / Doctorate
Skills:Self-motivatedProactivePublishingCollaboration
Languages:English
Tech Stack:PythonLinuxPyTorchTensorFlowJAXGurobiCBCGoogle OR-ToolsRayDask

Company Brief

Aalyria
Develops advanced network orchestration and laser communications technology to connect space, airborne, and terrestrial systems. The company emerged from Alphabet's Loon assets and focuses on resilient, long-range connectivity infrastructure.
Industry: Space Technology
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Mountain View, United States
Founded: 2022
WebsiteLinkedIn