Machine Learning Scientist (AI for Code)
Tasks
- Apply machine learning to source code analysis
- Build retrieval-augmented generation pipelines
- Design and validate machine learning models for bug vulnerability and code smell detection
- Develop LLM based features for code analysis
- Develop data pipelines for code datasets training and evaluation
- Document and communicate technical research findings
- Fine tune models on proprietary codebases
- Integrate ML prototypes into production products
Perks/Benefits
- Background check required
- Continuous learning
- Flexible work policy
- Hybrid work
- Remote work
- Work-life balance
Skills/Tech-stack
AWS | Data Pipelines | Deep learning | Fine Tuning | Hugging Face | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | QLoRA | RAG Pipelines | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector Databases
Education
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