Engineering Member – Post-training

This is a fully remote position, open to applicants in Europe.

📋 Description

• Conduct research and experimentation to specialize foundational models for agentic applications.

• Develop and maintain data and training pipelines.

• Stay updated on the latest research and be knowledgeable about cutting-edge advancements in LLMs, alignment, synthetic data generation, and code generation.

• Design, analyze, and refine training, fine-tuning, and data generation experiments.

• Produce high-quality, practical code.

• Collaborate with a team: plan upcoming tasks, engage in discussions, and communicate effectively with colleagues.

⛳️ Requirements

• Experience working with Large Language Models (LLM).

• Profound understanding of Transformers.

• Solid foundation in deep learning principles.

• Strong discernment in data quality.

• Experience with post-training processes involving LLMs.

• Extensive usage and exploration of LLMs, with knowledge of their capabilities and limitations.

• Familiarity with distributed training concepts.

• Robust background in machine learning and engineering.

• Research experience in relevant fields.

• Proven ability to propose and assess innovative research concepts.

• Knowledgeable or actively contributing to advancements in several of the following areas: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLVR, and code generation.

• Comfortable working in a fast-paced, iterative environment.

• Possesses well-grounded opinions.

• Proficient programming skills.

• Experience with Linux.

• Strong algorithmic capabilities.

• Proficiency in Python with PyTorch or Jax.

• Familiar with modern tools, including the latest code agents, and constantly seeking improvements.

• Excellent critical thinking skills and the ability to question code quality standards when necessary.

• Prior experience in non-ML programming, particularly in languages other than Python, is a plus.

🏝️ Benefits

• Fully remote work with flexible hours.

• 37 days per year of vacation and holidays.

• Health insurance allowance for you and your dependents.

• Company-provided equipment.

• Allowances for wellbeing, ongoing learning, and home office setup.

• Regular team gatherings.

• A vibrant and inclusive people-first culture.