Research Scientist, Optimization Systems

As a Research Scientist, you’ll contribute to state-of-the-art algorithms which advance the most challenging large-scale optimization and resource management problems in communication networks. The successful candidate will join a vibrant and growing research team. This is an applied research role, and you will work with software engineers to integrate research efforts into practical capabilities that can operate at the scale and speed required by Spacetime’s production systems., * Specify, research, design and develop scalable optimization algorithms for large, complex resource allocation problems.

• Apply techniques from machine learning, integer optimisation, metaheuristic, or other algorithms to improve solution quality and computational efficiency.
• Collaborate with researchers and engineers to translate research into commercial product capabilities.
• Evaluate new approaches against realistic problem sizes, constraints, and performance requirements.
• Publish at leading international conferences and contribute to patent applications.
• Develop and maintain documentation related to novel algorithms developed by the team., Own and expand customer relationships across the Western United States for a cloud-based healthcare genomics platform. Drive adoption, usage, and account growth within hospitals, laboratories, and healthcare organizations; identify expansion opportunities; navigate complex stakeholder groups; provide account support; and partner with sales teams on customer meetings and commercial development. The field-based role requires approximately 30-40% territory travel.

• A PhD and/or 8+ years of equivalent research experience in computer science, engineering, mathematics, statistics, or related field.
• Strong skills in Python and working in Linux environments.
• A track record of publishing in leading venues such as NeurIPS, ICLR/ICML, INFOCOM/IEEE, SIGCOMM, MobiCom, or ICC/GLOBECOM.
• Demonstrated ability of working proactively in a self-motivated way.

• Experience with at least one of: *

• Reinforcement learning/machine learning and associated libraries in Python (e.g. PyTorch, TensorFlow, or JAX).
• Integer optimisation and associated libraries (e.g. Gurobi, CBC, Google OR tools).
• Network science, graph theory, geometric deep learning, or representation learning on dynamic graphs (e.g. clustering, temporal GNNs).
• Metaheuristic algorithms., * Experience working in the wireless communication, satellite communications and/or software defined networking space.
• Experience deploying optimization or ML models into production systems with real-time or near-real-time performance constraints.
• Familiarity with satellite orbital mechanics, RF link budgets, or scheduling problems in constrained networks.
• Experience with distributed computing frameworks (e.g., Ray, Dask) for scaling optimization or training workloads.
• Contributions to open-source optimization, ML, or networking libraries.
• Experience mentoring junior researchers or engineers, or leading small technical workstreams., * U.S. citizen or national
• U.S. lawful permanent resident (green card holder)
• Refugee under 8 U.S.C. 1157
• Asylee under 8 U.S.C. 1158

(B) Be eligible to access export-controlled information without requiring an export authorization.

(C) Be eligible and reasonably likely to obtain the necessary export authorization from the appropriate U.S. government agency.

• Innovative Environment: Work at a cutting-edge company shaping the future of aerospace communications.
• Impactful Work: Directly contribute to critical national security programs and initiatives.
• Growth Opportunities: Expand your career with opportunities for professional development and advancement.
• Inclusive Culture: Be part of a collaborative, supportive, and inclusive workplace where your contributions matter.
• Flexibility: Flexible working arrangements including hybrid remote/in-office schedules.
• Compensation and Equity: Competitive salary, comprehensive benefits (401(k), dental, vision, health, life insurance), paid time off, and equity options., An Hour Ago Remote or Hybrid 45K-85K Annually Junior 45K-85K Annually Junior Artificial Intelligence * Fintech * Insurance * Marketing Tech * Software * Analytics Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate property and casualty coverage, and convert prospects into policyholders. The role includes paid training and licensing, customer communication, sales closing, and brand representation. Representatives must work a fixed schedule including one weekend day and meet remote-work requirements with a dedicated workspace and wired high-speed internet. Top Skills: PcWired High-Speed Internet SOPHiA GENETICS, An Hour Ago Remote or Hybrid 119K-170K Annually Senior level 119K-170K Annually Senior level Artificial Intelligence * Cloud * Fintech * Information Technology * Insurance * Financial Services * Big Data Analytics Lead end-to-end operational and financial management of the Executive Aviation Program, managing vendor contracts, optimizing aircraft usage and costs, coordinating complex executive travel, providing 24/7 escalated support, forecasting and reporting usage and expenses, and advising leadership on program performance and improvements. Top Skills: ExcelMS Office

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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.