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    Agile Engineer - Toronto, ON, Canada - Owl

    Owl
    Owl Toronto, ON, Canada

    1 week ago

    Default job background
    Description
    empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

    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.

    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.

    Advanced degree (Master's or PhD) in Machine Learning, Computer Science, or a related discipline, showcasing a deeper level of expertise in AI and NLP.

    Prior experience working with distributed systems and data pipelines, enabling seamless integration of AI technologies into large-scale enterprise environments.

    Medical: 100% paid medical, dental, and vision coverage

    Pension:
    Short & long-term disability
    Recharge: 4 weeks of paid time off, 10 public holidays, additional sick days, and time off over the winter holidays
    Weekly team lunches in the office

    The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

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