Staff Software Engineer
Machine Learning
Confirmed live in the last 24 hours

51-200 employees

Insurance claims monitoring platform
Company Overview's mission is to partner with insurers to fight illegitimate claims at scale. The company has built a platform that aggregates and synthesizes millions of data points and then automatically detects significant losses from malingering, exaggerated, or non-eligible insurance claims to help Fraud and SIU teams.
AI & Machine Learning
Data & Analytics
Financial Services

Company Stage

Series B

Total Funding





Vancouver, Canada

Growth & Insights

6 month growth


1 year growth


2 year growth

Toronto, ON, Canada
Experience Level
Desired Skills
Data Science
Natural Language Processing (NLP)
Data Analysis
Backend Engineering
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.
  • Collaborate with cross-functional teams to design, implement, and enhance machine learning-powered systems and products, with a specific emphasis on NLP.
  • 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.
  • 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-driven software engineering.