AI Research Engineer - Applied Scientist Compilers
Tasks
- Apply AI in compilation pipelines
- Apply reinforcement learning to optimize compiler and GPU objectives
- Benchmark across workloads and hardware targets
- Build training pipelines for fine tuning and reinforcement learning
- Collaborate to integrate learned policies into production toolchains
- Create datasets from compiler traces and optimization signals
- Define model inputs outputs over compiler representations
- Design AI based low level GPU optimization
- Develop evaluation frameworks for code quality and correctness
- Prototype and iterate model architectures and fine tuning strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Benchmarking | C++ | CUDA | Distributed Training | Fine Tuning | Human Feedback | Learning from Human Feedback | LoRA | Machine Learning | Multi-Armed Bandit | Offline Reinforcement Learning | PEFT | Performance Profiling | Policy gradients | Prompt engineering | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Static Analysis | Supervised Fine Tuning | Transformers
Education
Roles
AI | AI Research Engineer | Applied Scientist | Engineer | Research Engineer | Scientist
Regions
Countries
States
Cities
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