Staff NLP-engineer (code generation)

/ Details

December 9, 2024
DATE:
Remote
Full-time
format:
Apply Now

/ Content

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!

Apply Now