ML Engineer (LLM)

Responsibilities

Your responsibilities in this role will include some of the following:

• Development of a distributed learning and data processing infrastructure.
• Optimization of the training infrastructure.
• Participation in the design of our infrastructure.
• Working with methods to improve the quality and volume of our training data.
• Experimenting with innovative deep learning methods to improve the quality of our models.

We expect you to have

• Robust industrial or academic experience with deep learning.
• A solid understanding of the theoretical foundations of machine learning.
• Familiarity with a modern deep learning framework (TensorFlow, PyTorch or JAX).
• Experience with contemporary software engineering approaches such as CI/CD, version control and unit testing.
• A genuine enthusiasm for large language models and generative AI.
• A commitment to extreme rigor in job-related activities.

Additional advantages include:

• Experience working with language models or other similar NLP technologies.
• Experience building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Solid engineering skills, such as experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering skills.

Does this sound like the challenge you've been looking for? If so, we invite you to join us!