{"id":633878,"url":"https://alion.io/job/aalyria-research-scientist-optimization-systems","title":"Research Scientist, Optimization Systems","company":{"id":668833,"name":"Aalyria","domain":"aalyria.com","url":"https://alion.io/company/aalyria","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":94,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":227000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":85},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"JAX","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Dask","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-09-03T00:14:01Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-11-01T21:57:17Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"About Aalyria:\nAalyria 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.\nRole Overview:\nAs 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.\nKey Responsibilities:\nSpecify, research, design and develop scalable optimization algorithms for large, complex resource allocation problems.\nApply techniques from machine learning, integer optimisation, metaheuristic, or other algorithms to improve solution quality and computational efficiency.\nCollaborate with researchers and engineers to translate research into commercial product capabilities.\nEvaluate new approaches against realistic problem sizes, constraints, and performance requirements.\nPublish at leading international conferences and contribute to patent applications.\nDevelop and maintain documentation related to novel algorithms developed by the team.\nRequired Qualifications:\nA PhD and/or 3+ years of equivalent research experience in computer science, engineering, mathematics, statistics, or related field.\nStrong skills in Python and working in Linux environments.\nA track record of publishing in leading venues such as NeurIPS, ICLR/ICML, INFOCOM/IEEE, SIGCOMM, MobiCom, or ICC/GLOBECOM.\nDemonstrated ability of working proactively in a self-motivated way.\nExperience with at least one of:\nReinforcement learning/machine learning and associated libraries in Python (e.g. PyTorch, TensorFlow, or JAX).\nInteger optimisation and associated libraries (e.g. Gurobi, CBC, Google OR tools).\nNetwork science, graph theory, geometric deep learning, or representation learning on dynamic graphs (e.g. clustering, temporal GNNs).\nMetaheuristic algorithms.\n\nPreferred Qualifications:\nExperience working in the wireless communication, satellite communications and/or software defined networking space. \nExperience deploying optimization or ML models into production systems with real-time or near-real-time performance constraints.\nFamiliarity with satellite orbital mechanics, RF link budgets, or scheduling problems in constrained networks.\nExperience with distributed computing frameworks (e.g., Ray, Dask) for scaling optimization or training workloads.\nContributions to open-source optimization, ML, or networking libraries.\nExperience mentoring junior researchers or engineers, or leading small technical workstreams.\nWhat We Offer:\nInnovative Environment: Work at a cutting-edge company shaping the future of aerospace communications.\nImpactful Work: Directly contribute to critical national security programs and initiatives.\nGrowth Opportunities: Expand your career with opportunities for professional development and advancement.\nInclusive Culture: Be part of a collaborative, supportive, and inclusive workplace where your contributions matter.\nFlexibility: Flexible working arrangements including hybrid remote/in-office schedules.\nCompensation and Equity: Competitive salary, comprehensive benefits (401(k), dental, vision, health, life insurance), paid time off, and equity options.\nITAR/EAR Requirements:\nThis position involves access to export-controlled information. To comply with U.S. government export regulations, applicants must meet one of the following criteria:\n(A) Qualify as a U.S. person, which includes:\nU.S. citizen or national\nU.S. lawful permanent resident (green card holder)\nRefugee under 8 U.S.C. 1157\nAsylee under 8 U.S.C. 1158\n(B) Be eligible to access export-controlled information without requiring an export authorization.\n(C) Be eligible and reasonably likely to obtain the necessary export authorization from the appropriate U.S. government agency.\nThe company reserves the right to decline pursuing an export licensing process for legitimate business-related reasons.\nEqual Opportunity Employer Statement:\nAalyria is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law. 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