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            "description": "<p>Graduate/PhD Research Intern, Machine Learning at Constellation Space - Seattle | OnSite - Graduate/PhD Research Intern, Machine Learning Seattle | OnSite About Constellation Constellation is building software to model, predict, and improve satellite network operations. We combine simulation, data/ML workflows, and product-facing platform systems to support better operational decisions. Role Overview We are seeking a research-focused ML intern (MS/PhD level) to help advance our modeling and experimentation capabilities. This role is ideal for someone who enjoys turning research ideas into rigorous experiments and high-quality prototypes that can influence real product and platform direction. Note: This role requires access to ITAR-controlled data, so we need candidates to be U.S. persons (citizen, green card holder, or asylee/refugee). What You&#39;ll Do - Design and run ML experiments for forecasting and anomaly/risk prediction in network operations - Develop and evaluate models using time-series, probabilistic, and simulation-informed approaches - Improve feature engineering, dataset quality, and evaluation methodology - Build reproducible research workflows for training, validation, and model comparison - Communicate findings through clear technical writeups and recommendations What We&#39;re Looking For - Currently enrolled in an MS or PhD program (CS, EE, Aerospace, Applied Math, or related) - Strong low level engineering skills and comfort with scientific/ML tooling (C++, Python, Rust) - Ability to own projects end-to-end: scoping, implementation, testing, and communication - Clear written/verbal communication and strong collaboration habits Nice to Have - Experience with APIs, cloud infrastructure, or data-intensive systems - Familiarity with model evaluation, experiment tracking, and reproducibility - Background in networking, geospatial systems, telecom, or space-tech</p>",
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            "description": "<p>Software Engineer at Constellation Space - Seattle | OnSite - Software Engineer Seattle | OnSite THE ROLE We are looking for a high-agency Software Engineer to help build the core systems behind ConstellationOS - an autonomous operating system for satellite networks. ConstellationOS is not a traditional backend system. It is a real-time, closed-loop decision engine that: - Ingests 100,000+ telemetry messages per second - Maintains a deterministic world model of a live satellite network - Predicts link degradation and network failures ahead of time - Generates and executes autonomous rerouting decisions under real-world constraints This is a system where software directly interacts with a physical network. Latency, correctness, and reliability are not abstractions-they determine whether the system works. You will work directly with the founders to design and build systems at the intersection of distributed systems, networking, and real-world physical constraints. This role is based in Seattle, WA. This role is best suited for engineers who enjoy working on complex systems with real-world constraints. It is not a good fit for engineers looking for purely CRUD or API-focused work. WHAT YOU&#39;LL DO Real-Time Systems &amp; Digital Twin - Build and evolve the core “world model” of a satellite network, combining telemetry, predictions, and system state into a deterministic, queryable system - Design systems that can replay, simulate, and reason about network behavior over time Distributed Systems Architecture - Design and operate high-throughput, event-driven systems (target: 100k+ msgs/sec sustained) - Ensure strict guarantees around latency, ordering, and system stability under load Performance-Critical Engineering - Build low-latency components in C++ and/or Rust</p>",
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