AI/ML Engineer III
USD 124K-171K Senior-level Full Time
Tasks
- Apply supervised unsupervised reinforcement and generative learning
- Architect scalable AI/ML systems
- Build validation and testing frameworks
- Collaborate with cross functional teams on mission requirements
- Communicate project progress to stakeholders
- Design and execute AI ML simulations on CPU and GPU
- Develop and deploy AI ML prototypes end to end
- Develop signal processing computer vision and planning algorithms
- Integrate AI ML prototypes into existing products and platforms
- Lead design and development of machine learning models
- Manage technical risks and mitigation plans
- Mentor engineering peers in AI ML practices
- Prepare demonstration plans and technical briefings
- Stay current with emerging AI/ML technologies
- Train fine tune and optimize AI architectures
- Translate leadership guidance into requirements and designs
Perks/Benefits
- 401k match
- Health, dental, vision insurance
- Hybrid work environment
- Life insurance
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Actor-critic | Adversarial Networks | Agile | C# | C++ | CPU | CUDA | Clustering | Computer Vision | Data Ingestion | Data Versioning | Deep learning | Dimensionality Reduction | Feature Engineering | GPU Computing | Generative AI | Generative Adversarial Networks | High Performance | High-Performance Computing | Java | Learning algorithms | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Validation | Performance Computing | PyTorch | Python | Reinforcement Learning | Reinforcement Learning PPO | Reinforcement learning algorithms | Signal Processing | Simulation Modeling | Statistical modeling | Supervised Learning | TensorFlow | TensorRT | Training pipelines | Transformers | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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