Machine Learning Specialist

As a Machine Learning Engineer Data Quality Lead at our company, you will play a crucial role in ensuring the quality of data that directly impacts the effectiveness of Large Language Models (LLMs). Your responsibilities will include: - Automating pipelines to guarantee the reliability, safety, and relevance of training datasets. - Conducting proxy fine-tuning and reward modeling experiments to validate the quality of the data. - Creating evaluation frameworks that involve both human judgment and LLM assessment to measure consistency and alignment. - Collaborating closely with annotation teams to streamline scalable and high-quality data workflows. We are seeking individuals who possess the following qualifications: - Strong comprehension of LLM training and evaluation techniques such as SFT, RLHF, and reward models. - Proficiency in Python, PyTorch, Hugging Face, and various evaluation tooling. - Ability to interpret model diagnostics and translate them into actionable insights. - A self-starter with a consultative approach, comfortable working at the intersection of research and client success. If you join our team, you will have the opportunity to: - Contribute to mission-driven AI projects that challenge the boundaries of model reliability. - Shape data pipelines that have a direct impact on next-generation AI systems. - Become part of a rapidly growing AI-first team that is making a global impact. If you are passionate about data-centric AI and aspire to work in an environment where data quality is paramount for achieving model excellence, we would love to discuss this opportunity with you.,