Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
About the role
- Middle/AI/ML Engineer developing LLM-based extraction pipelines and influencing platform evolution. Building systems to enhance hiring intelligence through data processing and transformation.
Responsibilities
- Develop and maintain LLM-based extraction pipelines (resume parsing, skill extraction) using OpenAI and Google Gemini APIs.
- Design and iterate on prompts for structured data extraction and multi-criteria candidate evaluation.
- Data processing, transformation and storage.
Requirements
- 2+ years of experience
- Python (3.11+)
- Knowledge of Production ready code approaches
- Async programming (asyncio, async/await)
- Pydantic for data validation and structured schemas
- Practical experience with LLM APIs (OpenAI, Gemini, or similar)
- Understanding of text embeddings and semantic similarity (cosine similarity, vector search)
- Basic PyTorch: building and training simple neural networks (MLP classifiers)
- Scikit-learn fundamentals (metrics, train/test splitting, preprocessing)
- PostgreSQL — schema design, queries, upserts
- Data transformation and normalization patterns.
Benefits
- Flexible work format — the freedom to work remotely or from our Warsaw office, depending on your preference.
- A strong growth environment and the opportunity to build a product from its early stage — you will work on meaningful engineering challenges, contribute directly to core system design, and collaborate closely within a small, focused team of four engineers where your impact is visible and significant.
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