Research Engineer

Position Overview

We at Dynamiq are seeking a talented and passionate Research Machine Learning Engineer to join our team. In this role, you will be at the forefront of developing cutting-edge conversational applications using large language models (LLMs). Your work will include fine-tuning open-source LLMs, building Retrieval-Augmented Generation (RAG) systems, and creating innovative solutions that leverage the full potential of LLMs. This position is ideal for someone who has a deep understanding of deep learning, natural language processing (NLP), and has practical experience with LLMs.

Key Responsibilities

• Fine-tune Open-source LLMs: Customize and optimize pre-existing LLMs to fit our specific needs and improve performance
• Build RAG Systems: Develop systems that integrate retrieval mechanisms into LLMs to enhance the generation of information-rich responses
• Develop Conversational Applications: Create applications that utilize LLMs to provide engaging and intelligent conversational experiences
• Research and Innovation: Stay abreast of the latest developments in LLMs, deep learning, and NLP. Propose and implement innovative approaches to solve complex problems
• Collaboration: Work closely with the product and engineering teams to integrate machine learning models into our products and ensure they meet our high standards of scalability and reliability

Required Qualifications

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Profound understanding of deep learning and natural language processing principles.
• Hands-on experience with large language models and their applications
• Strong programming skills in Python, including experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)
• Excellent problem-solving abilities and a passion for innovation
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Preferred Qualifications

• Experience with developing Retrieval-Augmented Generation (RAG) systems
• Publications or contributions to significant projects in the field of machine learning, NLP, or related areas
• Experience working in a fast-paced, startup environment