[Hiring] Applied Scientist @BairesDev

Role Description

As an Applied Scientist specializing in NLP, you will design and implement advanced machine learning models to process and interpret human language at scale. You will translate complex linguistic challenges into high-performance AI solutions, ensuring depth in tokenization, embeddings, and modern language architectures.

• Design and develop scalable NLP models using Python and deep learning frameworks like PyTorch or TensorFlow.
• Implement and fine-tune transformer-based architectures, including BERT, T5, and the GPT family.
• Build and optimize end-to-end pipelines for text classification, embeddings, and large-scale language understanding.
• Research and adapt state-of-the-art scientific approaches to solve intricate business problems involving unstructured text data.
• Collaborate with engineering and product teams to deploy production-ready models and iterate based on real-world feedback.
• Ensure model accuracy and efficiency by staying at the forefront of NLP advancements, including Large Language Models (LLMs).

Qualifications

• 4+ years of experience in Machine Learning, Natural Language Processing, or Data Science.
• Proven expertise in implementing NLP techniques including tokenization, embeddings, and text classification.
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with transformer architectures and the Hugging Face ecosystem.
• Solid understanding of Large Language Models (LLMs) and modern NLP research.
• Advanced proficiency in English.

Benefits

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.