Staff LLM-engineer

What You Will Be Doing:

• Pretraining large language models (LLMs).
• Fine-tuning and aligning LLMs on streaming data.
• Writing training pipelines, including distributed training, for LLM models.
• Accelerating the inference of LLMs.

Candidate Requirements:

• At least 6 years of commercial Python development experience.
• 5+ years of experience in NLP, with at least 2 years of hands-on experience in pretraining and fine-tuning LLMs.
• Proficiency with frameworks such as PyTorch, TensorFlow, Hugging Face, Transformers, etc.
• Excellent understanding of the architectures of major LLMs.
• Practical experience applying LLMs to various tasks.
• Experience optimizing model inference, including techniques such as quantization.
• A degree in Computer Science, Applied Mathematics, or related fields.
• English proficiency at B2 level or higher.

Bonus Points:

• Research or publications related to NLP or LLM topics.
• Prize-winning placements in LLM-related competitions (e.g., Kaggle, Boosters).

What We Offer:

• Participation in the development of a fast-growing product operating in real-time markets.
• Competitive salary based on your qualifications and interview performance.
• Opportunities to enhance your expertise by working with top-tier colleagues and gaining hands-on experience.
• A dynamic, young team of professionals focused on results. We value integrity, honesty, and openness.
• English language classes with a native speaker, health insurance after the probation period, and thoughtful holiday gifts.
• The chance to implement bold and ambitious initiatives.
• A horizontal organizational structure with no bureaucracy or "big boss" syndrome.
• A results-driven work culture with flexible schedules and fully remote opportunities.

If you see yourself in this description, apply now to join our team!

‍