Staff Software Engineer, Machine Learning
*We are not working with recruitment agencies at this time*
Owl.co 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 on a mission to bring state-of-the-art ML and NLP methods to transform this traditionally manual activity into an equitable 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) 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.
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 specific emphasis on NLP.
- Work closely with internal stakeholders to conduct data analyses that address customer needs and drive actionable insights, leveraging NLP techniques.
- Develop advanced NLP models for document classification, ranking, and annotation, which form the foundation of our core fulfillment engine.
- Design and execute experiments aimed at improving internal processes, enhancing data collection, and refining ML models, with a strong NLP component.
- Foster cross-functional collaboration to tackle complex product challenges, particularly those involving NLP challenges.
- Lead technical discussions and contribute to key technical decisions within the team, especially as they pertain to NLP strategies.
- Develop clean, well-documented, and maintainable code spanning the entire technology stack, with a focus on NLP implementation.
- Act as a mentor to junior engineers, facilitating the growth and development of the engineering team in the context of NLP.
- Analyze user behavior on our platform to uncover new features, trends, and insights that can enhance our products, using NLP-driven analytics.
- Contribute to the evolution and direction of our analytics practices, particularly in the realm of NLP analytics.
- Possess a minimum of 6 years of hands-on ML experience outside of academia 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 or Machine Learning.
- Exhibit extensive proficiency in Python, particularly for NLP-related tasks.
- Demonstrate expertise in reporting, dashboard development, and data management, with a strong emphasis on NLP-driven reporting.
- 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.
- Possess strong interpersonal and written communication skills, along with expertise in A/B testing, statistical analysis, and applied ML theory and practice, especially in NLP contexts.
- Familiarity with AWS data services, such as Glue, Athena, QuickSight, and related technologies, and their application to NLP tasks.
- Medical: 100% paid medical, dental, vision
- 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 towards your fitness expenses, favorite activities, or professional development
- Hybrid working environment
Please note that we can not provide visa sponsorship at this time.