--- title: 'Graduate/PhD Research Intern, Machine Learning at Constellation Space' canonical: 'https://feeny.ai/job/graduate-phd-research-intern-machine-learning-constellation-space-seattle-hz3fkhxdkk8t' type: 'job' last_seen: '2026-09-10' --- # Graduate/PhD Research Intern, Machine Learning at Constellation Space - **Company:** Constellation Space - **Location:** Seattle, WA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-04-24 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/constellationspace/b763d4ba-7b77-479b-89a0-f632d9d02f4a ## Job description ## The Role Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team. You will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation. ## Responsibilities - Conduct independent research to design and train novel machine learning architectures. - Analyze massive datasets derived from flight telemetry and satellite sensors. - Prototyping and testing algorithms in simulated aerospace environments. - Publish internal papers and present findings to the core engineering team. ## Requirements - Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field. - Strong theoretical understanding of deep learning, computer vision, or reinforcement learning. - Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX). - Ability to work on-site in Seattle for the duration of the internship. ## About Constellation Space ## Company Overview - **One-liner**: Constellation Space builds an AI-powered operating system (ConstellationOS) that autonomously manages and orchestrates satellite networks, predicting failures and rerouting traffic in under two seconds. - **Entity Type**: Private (Seed stage – $6.5M round announced March 2026) - **Headquarters**: Seattle, Washington, United States - **Founded**: 2025 - **Founders**: Kamran Majid (CEO), Laith Altarabishi, Raaid Kabir, Omeed Tehrani ## Core Business - **Primary industries**: Space technology, satellite communications, defense, aerospace - **Target customers**: Commercial fleet operators, government programs, and ground teams managing multi-vendor constellations (B2B, Government) - **Mission or purpose statement**: To build the critical autonomous infrastructure required to operate next-generation satellite networks at scale. ## Products & Services - **ConstellationOS**: An AI-driven orchestration layer that ingests telemetry from satellites, ground stations, and weather systems (100,000+ messages/sec), predicts link degradation using physics-informed ML models, and autonomously executes reroutes, handoffs, and load balancing—all under strict operator policy. Type: SaaS / API platform. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $6.5M (oversubscribed Seed round closed March 2026); earlier $125K grant from Toloka.vc - **Notable Investors/Partners**: Y Combinator (Winter 2026 batch), Standard Capital, NVIDIA, OpenAI, Samsung NEXT, Fellows Fund, Founders Future - **Growth Signals**: Currently in design partner phase with commercial and government operators; team of 4 founders with prior experience at SpaceX, Blue Origin, and NASA; actively hiring (Head of Operations, Principal Wireless Engineer, Graduate/PhD Research Intern ML) ## Competitive Advantages - **ML-native predictive accuracy** of 90%+ for link failures, providing a 5-minute early warning window. - **Autonomous action** (reroute, handoff, load balance) in under 2 seconds with zero human intervention. - **Sub-second optical routing** and predictive thermal load-balancing. - **Founding team’s deep domain expertise** from SpaceX, Blue Origin, and NASA. - **ITAR-compliant and air-gapped deployment** options for government and defense clients. ## Strategic Focus - **Current priorities**: Expanding design partner relationships with commercial and government satellite operators; scaling ConstellationOS from pilot to production; hiring key engineering and operations talent to support growth. - **Direction for growth**: Becoming the standard operating system for mega-scale satellite networks (10,000+ satellites) and eventually for off-world telecommunications and compute. ## Why Work Here - **Culture highlights**: Early-stage startup with a small, highly experienced founding team tackling infrastructure problems that directly impact space operations. Emphasis on autonomy, ownership, and solving hard technical challenges. - **Remote/hybrid/office policy**: Headquarters in Seattle, WA; likely hybrid or in-office given the nature of space systems work (not explicitly stated). - **Notable perks or engineering culture**: Backed by top-tier VCs (YC, NVIDIA, OpenAI); opportunity to work on mission-critical AI/ML and network orchestration for the space industry; deep technical challenges in ML, distributed systems, and real-time control. ## Sources 1. [constellation.space (Company)](https://constellation.space/company) 2. [Y Combinator](https://www.ycombinator.com/companies/constellation-space) 3. [LinkedIn](https://www.linkedin.com/company/constellationspace) 4. [Ashby Careers Page](https://jobs.ashbyhq.com/constellationspace) ## Other roles at Constellation Space - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-constellation-space-seattle-dmzb513c544k) — Seattle, WA - [Flight Software Engineer](https://feeny.ai/job/flight-software-engineer-constellation-space-seattle-74f6y1d60h09) — Seattle, WA - [Software Engineer](https://feeny.ai/job/software-engineer-constellation-space-seattle-46zhw74kx9ww) — Seattle, WA