Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost.
Requirements
- SQL/Python/Typescript or equivalent
- Proven track record of delivering AI/ML solutions from prototype to production in complex industrial environments using Agile methodologies
- Strong expertise in ML frameworks (ex: TensorFlow, PyTorch, scikit-learn), data pipelines, and MLOps practices
- Familiarity with aerospace digital engineering, digital twin, and model-based systems engineering (MBSE)
- Experience with digital thread ecosystems and integration into ERP/MES platforms
- Published research, patents, or thought leadership in ML/AI for aerospace
Responsibilities
- Define and execute the company’s data science and ML strategy in alignment with Digital Office transformation objectives
- Champion and influence the use of AI/ML across engineering, manufacturing, and operations to drive competitive advantage
- Act as the technical authority on data innovation, advanced analytics, and responsible AI
- Build and lead a multidisciplinary team of data scientists, ML engineers, and data analysts
- Establish best practices for model development, deployment, and monitoring
- Design, develop, and deploy ML models for use cases such predictive maintenance, quality assurance automation, digital twin optimization, and supply chain resilience
- Oversee development of scalable ML pipelines and integration from model-based design to engineering systems and ERP/MES platforms
Other
- Advanced degree (PhD or Master’s) in Computer Science, Data Science, Engineering, Applied Mathematics, or related field
- 7+ years of applied data science and machine learning experience, preferably in aerospace, defense, or safety-critical industries
- Strong communication and storytelling skills to influence senior leadership and technical peers without direct authority
- The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
- Background in aerospace engineering, flight systems, or manufacturing operations
