Applied Scientist, Satellite Build Systems

What you'll do

• Translate ambiguous manufacturing and operational problems into well-defined scientific problems and modeling approaches.
• Design, train, and deploy machine learning models including LLM-based systems and retrieval models.
• Develop models using large-scale, noisy, and heterogeneous datasets with imperfect ground truth.
• Apply state-of-the-art techniques in anomaly detection, root-cause inference, and generative AI to manufacturing workflows.
• Design experiment frameworks that account for real-world failure modes, distribution shift, and decision risk.
• Balance model complexity against practical constraints like accuracy, latency, cost, and maintainability.
• Build production-quality scientific components with integrated testing, documentation, and monitoring mechanisms.
• Analyze system performance to identify gaps and iteratively improve deployed manufacturing solutions.

What we're looking for

• Candidates must be a U.S. citizen, national, permanent resident, or granted asylum/refugee status for export control compliance.
• Must have 3+ years of experience building models for business applications.
• Must have a PhD, or a Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
• Experience with patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python, or other related languages.
• Experience in areas such as algorithms, data structures, numerical optimization, data mining, or distributed computing.
• Experience using Unix/Linux and professional software development (preferred).
• Experience with advanced AI fields like NLP, RAG, generative AI, or multimodal learning (preferred).