Senior NLP-engineer (chunking)

What You Will Be Doing:

• Solving the "Chunking" task.
• Conducting research and testing state-of-the-art (SOTA) algorithms and approaches for this task.
• Implementing and deploying the most effective algorithms into production.

Candidate Requirements:

• At least 6 years of commercial Python development experience.
• Minimum 1 year of experience solving Chunking tasks and familiarity with SOTA approaches.
• Experience with PyTorch, TensorFlow, Hugging Face, Transformers, and similar frameworks.
• Strong understanding of major LLM architectures and experience with LLM inference.
• Proven experience solving RAG (Retrieval-Augmented Generation) tasks.
• A degree in computer science, applied mathematics, or a related field.

Preferred Qualifications:

• Research experience or publications related to Chunking or RAG.
• Prize-winning placements in competitions involving LLMs (e.g., Kaggle, Boosters).

What We Offer:

• Participation in the development of a rapidly evolving product operating in real-time markets.
• Competitive salary based on your qualifications and interview performance, ranging from $6,000 to $14,000.
• Opportunities to enhance your expertise by working with top-tier colleagues and learning on the job.
• A dynamic and motivated team of professionals focused on results. We value integrity, honesty, and openness.
• The chance to implement bold and ambitious initiatives.
• A flat organizational structure with no bureaucracy or "big boss" mentality.
• A results-oriented culture offering flexible schedules and fully remote work.

If this sounds like you, apply now to join our team!