Colorado Springs, CO30+ days ago
It would be impressive if you have one or more of these: • Advanced degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or related field(s) • Publications in reinforcement learning, graph theory, or a relevant AI/ML domain • Experience in designing or managing enterprise-level ML platforms and production-grade ML models at scale • Familiarity with High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures • Demonstrated ability to exercise judgement and critical thinking in a scientific discipline • Experience implementing and guiding teams toward software development best practices • Experience in SQL, NoSQL, Cypher, and other big data querying languages • Demonstrated contributions to open-source software repositories (github, kaggle, etc.) • Experience deploying ML models on cloud platforms (AWS, Azure, etc.) • Domain expertise relevant to one or more customer organization mission areas (USSF, NRO, etc.) • Active security clearance. In addition to the above, the minimum requirements for the Machine Learning Engineer-Engineering Specialist: • 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain • Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration • Experience leading technical teams and in mentoring junior staff • Familiarity with data pipelining and streaming technologies (Apache Kafka, temporal, etc.).