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    Staff Engineer in Test - Toronto, ON, Canada - Owl Labs Inc.

    Owl Labs Inc.
    Owl Labs Inc. Toronto, ON, Canada

    1 week ago

    Default job background
    Description
    enables insurers to fight illegitimate claims at scale while removing human bias from the process.

    Our clients are the top insurance companies across North America and are getting incredible results through our AI-powered evidence-based platform.

    We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

    We are actively seeking a highly motivated and experienced Senior Software Engineer, with a strong focus on machine learning and natural language processing (NLP) to drive the development of the core intelligence underlying our innovative products.

    In this role, you will collaborate closely with various teams, leading the design, implementation, and production of some of the most impactful systems in the insurance industry.

    Develop and maintain advanced NLP models for document classification, ranking, and annotation, serving as the core intelligence of our products.

    Work closely with internal stakeholders to conduct data analyses that address customer needs and generate actionable insights, leveraging NLP techniques.

    Design and execute experiments aimed at improving internal processes, enhancing data collection, and refining ML models, with a strong NLP component.

    Lead technical discussions and contribute to key technical decisions within the team, especially as they relate to software engineering aspects of NLP strategies.

    Develop clean, well-documented, and maintainable code spanning the entire technology stack, with a strong focus on NLP implementation and software engineering best practices.

    Mentor junior engineers, supporting their growth and development within the context of NLP software engineering.
    Contribute to the evolution and direction of our analytics practices, particularly in the realm of NLP-driven software engineering.

    Possess a minimum of 4 years of hands-on experience in software engineering with a strong portfolio of applied projects in the industry, with a significant focus on NLP.

    Hold an advanced degree or equivalent qualification, ideally in a field related to NLP, machine learning, or software engineering.

    Exhibit extensive proficiency in Python, particularly for NLP-related software engineering tasks.

    Demonstrate expertise in software engineering practices, including code quality, maintainability, and scalability, with a strong emphasis on NLP-driven software solutions.

    Be proficient in common data science tools and query languages, including pandas, NumPy, seaborn, scikit-learn, and SQL, with a focus on NLP data analysis from a software engineering perspective.

    Possess strong interpersonal and written communication skills, along with expertise in A/B testing, statistical analysis, and applied ML theory and practice, especially in the context of software engineering.

    Familiarity with AWS data services, such as Glue, Athena, QuickSight, and related technologies, and their application to NLP-driven software engineering tasks.

    Medical: 100% paid medical, dental, vision

    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
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