Machine Learning Research Engineer | Kilby Labs
Tasks
- Build agentic LLM systems
- Deploy AI ML solutions with teams
- Develop LLM post-training algorithms
- Develop LLM training algorithms
- Develop reasoning models
- Implement code generation with LLMs
- Integrate LLMs with domain knowledge
- Perform LLM evaluation and optimization
- Research LLM architectures
Perks/Benefits
Skills/Tech-stack
C# | C++ | Deep learning | Direct Preference Optimization | Embeddings | Few-Shot Learning | Few-shot | Fine Tuning | Generalized Reward Policy Optimization | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | N A | Natural Language | Natural Language Processing | ONNX | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Python | Reinforcement Learning | Tensorflow N/A | Tokenization | Tool-Calling | Transfer Learning | Transformers | Transformers Library
Education
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