We are not working with recruitment agencies at this time. 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 on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

About the Role: We are seeking a driven and motivated Machine Learning Engineer to develop the core intelligence behind our products. You will collaborate with various functions – 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 the CTO and the rest of the engineering team to build ML-powered systems and products
  • Work with internal stakeholders to conduct impactful data analysis to address customer needs
  • Construct models to classify, rank, and annotate documents, powering the core fulfillment engine
  • Design experiments to enhance internal processes, data collection, and ML models
  • Collaborate cross-functionally to tackle challenging product issues
  • Lead technical discussions and assist in driving technical decisions within the team
  • Develop clear, well-documented, and maintainable code across the entire stack
  • Mentor junior engineers and support the growth of the engineering team
  • Analyze user behavior from our platform to uncover new features, trends, and insights aimed at improving our products
  • Contribute to the development and direction of our analytics practices

Ideal Experience:

  • 5+ years of ML experience with a strong track record of applied project work in the industry
  • Advanced Degree or equivalent
  • Extensive experience with Python
  • Expertise in reporting, dashboard development, and data management
  • Proficient in common data science tools and query languages such as pandas, NumPy, seaborn, sklearn, and SQL
  • Strong interpersonal and written skills, expertise in A/B testing, statistical analysis, and the theory/practice of working with applied ML
  • Familiarity with AWS data services (Glue, Athena, QuickSight, etc.)


  • Medical: 100% paid medical, dental, and vision coverage
  • 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 toward your fitness expenses, favorite activities, or professional development
  • Hybrid working environment

Please note that we cannot provide visa sponsorship in the US.