AI/ML Engineer III
Englewood, CO - CO RMS, United States
USD 124K-171K Senior-level Full Time
Tasks
- Apply supervised unsupervised reinforcement and generative learning
- Architect scalable AI/ML systems
- Build end to end AI ML prototypes
- Build training pipelines
- Coach engineering peers on AI ML practices
- Collaborate cross functional teams for mission requirements
- Coordinate technical risk mitigation and prototype scope
- Deploy and evaluate models
- Design simulations and modeling for AI ML systems
- Develop signal processing and computer vision algorithms
- Develop validation and testing frameworks
- Ingest data and engineer features
- Integrate prototype components into products and platforms
- Lead design and development of machine learning models
- Run demonstrations and technical briefings
- Shape system level behavior and technical tradeoffs
- Train and fine tune AI architectures
- Translate leadership guidance into requirements and designs
Perks/Benefits
- Hybrid work environment
- Mentorship opportunities
- Occasional travel
- Opportunities for rapid prototyping
Skills/Tech-stack
ANN | Actor-critic | C# | C++ | CNN | CUDA | Computer Vision | Data Ingestion | Data Versioning | Deep Neural Networks | Feature Engineering | GPU Computing | Generative AI | High Performance | High-Performance Computing | Java | Large-scale | Large-scale simulation | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Validation | Neural Networks | Performance Computing | PyTorch | Python | RNN | Real Time | Real-time Systems | Reinforcement Learning | Reinforcement Learning Actor Critic | Reinforcement Learning PPO | Signal Processing | Supervised Learning | TensorFlow | Time Systems | Training pipelines | Transformers | Unsupervised Learning
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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