We are not working with recruitment agencies at this time.

Owl.co 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:

• 2+ 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.)

Benefits:

• 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.