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 amp; 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.