Senior AI Engineer

🕒 Junho 26

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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LeoLabs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

🏭 Manufatura

📦 Logística

🎖️ Defesa

Manufacturing • Logistics • Defense

A LeoLabs é um provedor comercial de inteligência orbital persistente e serviços de conscientização do domínio espacial. A empresa opera uma rede de radares terrestres, rapidamente implantáveis, e uma plataforma baseada em nuvem habilitada por IA para rastrear e catalogar objetos em órbita baixa da Terra, fornecer alertas de conjunção em tempo real, avaliações de ameaças, suporte a lançamentos e dados de gerenciamento de tráfego espacial para clientes comerciais e governamentais. A LeoLabs combina hardware de radar, conjuntos de dados autoritativos e análises SaaS para ajudar operadores a proteger ativos, evitar colisões e gerenciar operações de lançamento e em órbita.

Descrição

• Designing, building, and operating AI- and machine learning-powered systems • Enabling real-time space domain awareness and driving customer-facing insights • Developing scalable pipelines, deploying models into production, and integrating AI capabilities into operational systems • Transforming large-scale sensor and orbital datasets into intelligent systems that detect patterns, identify anomalies, and generate predictive insights • Owning the full lifecycle of AI solutions—from data and feature pipelines to model deployment, monitoring, and continuous improvement • Helping define best practices for applied AI across LeoLabs.

🎯 Requisitos

• Must be eligible to obtain and maintain a U.S. personnel security clearance • B.S. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Physics, or equivalent experience • 5-7 years of experience in software engineering, machine learning engineering, or applied AI roles • Up-to-date familiarity with the latest developments in Agentic AI • Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) • Advanced experience with SQL and large-scale data processing • Proven experience developing and deploying production-grade machine learning models • Experience working with large-scale distributed data platforms (e.g., Databricks, Spark) • Strong understanding of statistical modeling, machine learning algorithms, and experimental design • Experience designing and implementing feature engineering pipelines and training workflows • Familiarity with MLOps practices, including model versioning, monitoring, and lifecycle management • Strong problem-solving skills and ability to translate ambiguous real-world problems into scalable AI solutions • Excellent communication skills, with the ability to influence technical and non-technical stakeholders.

🏖️ Benefícios

• Global workforce: flexible remote/hybrid opportunities • Work on complex, meaningful missions with real-world impact • Unlimited paid time off for most roles • Competitive salary and equity packages • Comprehensive health, dental, and vision coverage • Access to the forefront of commercial space operations and defense innovation