Senior Deep Learning Engineer

March 19

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owl.co

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Unbiased claimant information that insurers do not have today, for faster and better claims decisions.

Artificial Intelligence • Machine Learning • Compliance • Fraud Detection • KYC

51 - 200

Description

• 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.

Requirements

• 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.

Benefits

• Medical: 100% paid medical, dental, and vision coverage • Pension: 401K matching • Short & long-term disability • Recharge: 4 weeks of paid time off, 10 public holidays, additional sick days, and time off over the winter holidays • Personal development: $1,200/year toward your fitness expenses, favorite activities, or professional development • Hybrid working environment • Weekly team lunches in the office