Senior NLP Engineer (New York City, Hybrid)

We are not currently collaborating with recruitment agencies. Owl.co empowers insurance providers to combat fraudulent claims at a large scale while eliminating human bias from the process. We serve top insurance companies across North America, who achieve remarkable results through our AI-powered, evidence-based platform. Our mission is to integrate state-of-the-art machine learning (ML) and natural language processing (NLP) methods to turn this traditionally manual activity into a fair process. We are well funded and have engineering offices in New York City, Toronto, and Vancouver. We are actively seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on Natural Language Processing (NLP). In this role, you will collaborate closely with various teams to design, implement and produce some of the most impactful systems in the insurance industry. What You'll Be Doing: - Collaborate directly with our Chief Technology Officer (CTO) and the broader engineering team to build and enhance ML-powered systems and products with a focus on NLP. - Work closely with internal stakeholders to conduct data analyses that address customer needs and provide actionable insights using NLP techniques. - Develop advanced NLP models for document classification, ranking, and annotation as the core of our central engine. - Design and lead experiments to improve internal processes, enhance data collection, and refine ML models with a robust NLP component. - Foster cross-functional collaboration to tackle complex product challenges, particularly those involving NLP. - Lead technical discussions and contribute to key technical decisions in the team, especially regarding NLP strategies. - Develop clean, well-documented, and maintainable code across the entire technology stack with a focus on NLP implementation. - Mentor junior engineers, aiding the growth and development of the team in terms of NLP. - Analyze user behavior on our platform to uncover new features, trends, and insights to enhance our products, applying NLP-driven analytics. - Contribute to the development of our analytics practice, particularly in NLP analysis. Ideal Experience: - At least 4 years of practical ML experience with a strong record of applied projects in the industry, focusing on NLP. - Hold an advanced degree or equivalent qualification, preferably in a field related to NLP or Machine Learning. - Proficient in Python, especially for NLP tasks. - Experienced in reporting, dashboard development, and data management with an emphasis on NLP reporting. - Proficient in common data science tools and query languages like pandas, NumPy, seaborn, scikit-learn, SQL, particularly for NLP data analysis. - Strong interpersonal and written communication skills, along with expertise in A/B testing, statistical analysis, and applied ML theory and practice, in NLP contexts. - Familiarity with AWS data services like Glue, Athena, QuickSight, and their applications for NLP tasks. Benefits: - 100% paid medical, dental, and vision coverage. - 401K matching. - Short & long-term disability. - Four weeks of paid time off, along with ten public holidays, additional sick days, and vacation time during the winter holidays. - $1,200 per year towards fitness expenses, favorite activities, or professional development. - A hybrid working environment. Please note we are unable to provide visa sponsorship in the US.