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Sierra Nevada Corporation is seeking an AI/ML Engineer III to lead AI/ML development within their Joint Task Force Sierra team, focusing on creating prototypes for advanced technologies in aerospace and defense. The ideal candidate will have extensive experience in machine learning, the ability to mentor junior engineers, and a strong background in developing scalable AI systems.
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Job Summary
This role serves as the technical lead for AI/ML development on a fast-paced team prototyping new technologies for Sierra Nevada Corporation's Joint Task Force.
The successful candidate will architect scalable AI/ML systems, lead rapid proof-of-concept builds, and mentor engineers with limited AI/ML backgrounds.
SNC offers a generous benefit package including medical, dental, vision plans, 401(k) with 150% match up to 6%, and 3 weeks paid time off.
Matching Summary
Match Score: 75
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Sierra Nevada Corporation is seeking an AI/ML Engineer III to lead AI/ML development within their Joint Task Force Sierra team, focusing on creating prototypes for advanced technologies in aerospace and defense. The ideal candidate will have extensive experience in machine learning, the ability to mentor junior engineers, and a strong background in developing scalable AI systems.
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Salary
Base: $124,771.42 - $171,560.71; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k) 150% match up to 6%, life insurance, 3 weeks PTO
Skills & Requirements
Must-have
6+ years AI/ML experience
Python C++ programming proficiency
Deep neural network architecture design
Reinforcement learning implementation
Generative AI model deployment
Rapid prototype development under tight schedules
Nice-to-have
MLOps and data versioning practices
Embedded real-time platform integration
GPU programming and high-performance computing
Cybersecurity compliance knowledge
Cross-functional team mentoring experience
Agile or DevOps workflow participation
Key Requirements
Bachelor's degree in STEM or 9 years experience if no degree
Must have US citizenship for Secret Security Clearance
Proficiency in TensorFlow PyTorch and advanced ML frameworks
Experience deploying models in production environments
Ability to work with incomplete information and shape requirements