What You Will Be Doing:
- Solving text-to-code and code generation tasks, including software engineering (SWE), completion tasks, and more.
- Fine-tuning large language models (LLMs) for code generation tasks.
- Accelerating the inference of transformer models and LLMs.
Candidate Requirements:
- At least 6 years of commercial development experience in Python.
- 5+ years of experience in NLP, with a proven track record of applying LLMs to code generation tasks.
- Hands-on experience solving text-to-code and code generation problems.
- Proficiency with frameworks such as PyTorch, TensorFlow, Hugging Face, Transformers, etc.
- Deep understanding of the architectures of major LLMs and their strengths/limitations for code generation.
- Experience optimizing model inference, including techniques like quantization.
- A higher education degree in Computer Technology, Applied Mathematics, or Applied Computer Science.
- English proficiency at B2 level or higher.
Bonus Points:
- Research or publications on NLP or LLM-related topics.
- Prize-winning placements in NLP/LLM competitions (e.g., Kaggle, Boosters), especially for text-to-code or code generation tasks.
What We Offer:
- Participation in the development of a fast-growing product operating in real-time markets.
- A competitive salary based on your qualifications and interview performance, ranging from $8,000 to $15,000.
- Opportunities to enhance your expertise by working with top-tier colleagues and learning on the job.
- A dynamic and supportive team of professionals who value integrity, honesty, and openness.
- English 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 a flexible schedule and fully remote opportunities.
If this sounds like you, apply now to join our team!