Staff NLP-engineer (math problem solving)

What You’ll Be Doing:

• Solving "Math Problem Solving" tasks using LLMs.
• Fine-tuning LLMs for advanced math problem-solving capabilities.
• Optimizing and accelerating LLM inference.

Requirements:

• 6+ years of commercial Python development experience.
• 5+ years of experience in NLP, with a focus on applying LLMs to math problem-solving.
• Proficiency with frameworks like PyTorch, TensorFlow, Hugging Face, and transformers.
• Deep understanding of major LLM architectures, including their strengths and weaknesses for math problem-solving.
• Experience with Chain-of-Thought (CoT) prompting.
• Proven expertise in optimizing model inference (e.g., quantization).
• A degree in computer technology, applied mathematics, or applied computer science.
• Strong knowledge of various branches of mathematics.
• English proficiency at a B2 level or higher.

Bonus Points For:

• Research or publications on NLP or LLM-related topics.
• High placements in NLP or LLM-related competitions (e.g., Kaggle, Boosters), particularly in text-to-code or code-generation challenges.

What We Offer:

• The opportunity to contribute to the development of a fast-evolving product in real-time markets.
• Competitive salary based on qualifications and interview results, ranging from $8,000 to $15,000.
• Continuous learning and collaboration with top-tier colleagues to enhance your expertise.
• A young, dynamic team of professionals who value integrity, honesty, and openness.
• English language classes with a native speaker, health insurance after the probation period, and thoughtful holiday gifts.
• Opportunities to implement bold, ambitious ideas.
• A flat organizational structure with no unnecessary bureaucracy or "big boss" culture.
• A results-driven environment with a flexible schedule and fully remote work.

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