Senior Staff AI Engineer
USD 180K-240K (estimate) Senior-level Full Time
Tasks
- Apply reinforcement learning algorithms
- Build hierarchical reinforcement learning systems
- Build multi agent reinforcement learning systems
- Build training pipelines
- Collaborate with product and platform teams for production integration
- Conduct continuous benchmarking
- Define reinforcement learning architecture
- Design distributed training systems
- Develop evaluation and monitoring frameworks
- Develop simulation environments
- Ensure compliance with regulatory standards
- Ensure explainable and safe reinforcement learning systems
- Implement reward shaping
- Lead and mentor engineers and researchers
- Optimize inference time compute with search and adaptive computation
- Optimize performance reproducibility and cost
- Serve and deploy reinforcement learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A3C | Actor-critic | Adaptive computation | Benchmarks | C plus plus | Chain-of-Thought | Cloud Machine Learning | Continuous Evaluation | Deep Deterministic Policy Gradient | Distributed Training | Explainable AI | Fine Tuning | GPU | Hierarchical reinforcement learning | Inference Optimization | Isaac-Gym | JAX | Java | Kubernetes | Language model training | Large Language Model | Large language model training | Machine Learning | Model Fine-tuning | Model Training | Model-based reinforcement learning | Monitoring | Mujoco | Multi-Agent | Multi-Agent Reinforcement Learning | OpenAI Gym | PettingZoo | Policy Gradient | Policy Optimization | Proximal Policy Optimization | PyTorch | Python | Ray RLlib | Reinforcement Learning | Safety alignment | Simulation | Soft Actor Critic | TPU | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Senior AI Engineer
Regions
Countries
States
Cities
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