Deep Learning Product Research Engineer
Tasks
- Analyze model behavior
- Build LLM evaluation harnesses
- Build profiling utilities
- Build proof-of-concept applications
- Create performance tuning recipes
- Create product intelligence from signals
- Develop agentic workflows
- Develop benchmarks and reference code
- Develop reference architectures and integration playbooks
- Lead generative AI product research
- Present technical content to developers and stakeholders
- Stay current with model training inference and deployment
- Write technical assets and white papers
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | CUDA | CUDNN | Fine Tuning | Hugging Face | Langchain | Language Models | Large Language Models | Llamaindex | Model Deployment | Model Evaluation | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | TensorFlow | TensorRT | Transformers | Vector Databases
Education
Regions
Countries
States
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