Senior Deep Learning Engineer, Owl.co

• Significant experience in the training, fine-tuning, and maintenance of large-scale LLMs, demonstrating a deep understanding of NLP principles and methodologies
• Proficiency in programming languages such as Python and C/C++, coupled with a strong grasp of systems architecture and optimization techniques
• Bachelor's degree in Computer Science, Applied Mathematics, or a related field, providing a solid foundation for tackling complex AI challenges
• Proven track record of deploying ML models in production environments and actively contributing to the machine learning community through publications or participation in relevant forums
• Familiarity with state-of-the-art deep learning architectures, such as transformers and GPT, and a willingness to stay updated on emerging trends in the field

Desirable

• We're currently seeking a Multimodal AI Engineer (NLP) to play a key role in advancing our core intelligence capabilities
• In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims
• Architect and construct robust data pipelines tailored for the training, fine-tuning, and evaluation of Large Language Models (LLMs)
• Drive optimization efforts to enhance both the speed and accuracy of LLM inference processes, ensuring efficient and reliable performance
• Take ownership of managing and enhancing the foundational infrastructure supporting Owl.co's LLMs, including model management and orchestration systems