Senior Machine Learning Software Engineer, Owl.co
CA$120-230k
Insurance fraud detection platform
Job no longer available
Insurance fraud detection platform
21-100 employees
Job no longer available
CA$120-230k
21-100 employees
Company mission
To bring the state of the art ML and MLP methods to transform traditionally manual activity into an equitable process.
Role
Who you are
- 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
What the job involves
- We are actively seeking a highly motivated and experienced Senior Software Engineer, with a strong focus on machine learning and natural panguage processing (NLP) to drive the development of the core intelligence underlying our innovative products
- 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
Our take
Insurance fraud is an $80B problem annually for American consumers and Owl.co is looking to put a stop to it. The company’s claim monitoring platform is designed to help providers mitigate and prevent fraud, and therefore cut premiums and adjust expenses for insurance customers. The company is currently focused on weeding out ineligible disability and workers' compensation insurance claims.
Owl.co doesn’t use discriminatory data like age, gender, or zip codes in its monitoring procedure, instead connecting to relevant data via a zero-knowledge protocol. This means Owl.co’s solution hits two key trends developing fast in the insurance industry: privacy, and equity. With these set to be two major priorities in the years ahead, Owl.co is smart to position itself at the centre of these two conversations
With clients like the Toronto Stock Exchange, and members of the top 10 North American banks and insurers, Owl.co already commands a strong customer base for its services. If it can secure a reputation for unbiased monitoring, this is likely to only grow.
Steph
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$20.9m
SERIES B
Oct 2020
$7m
SERIES A
Total funding: $32.6m
Company benefits
- Competitive medical coverage for all team members, including an annual contribution to a Wellness or Health Spending Account
- Competitive programs to support employees in their RRSP and 401k plan contributions
- We see face-to-face collaboration as important, but also allow for work-at-home time
- 4 weeks of paid time off plus additional sick days
- Allowance towards fitness expenses, favorite activities, or professional development
Company HQ
Gastown, Vancouver, BC
Leadership
Sean Merat
(CEO)Is a serial entrepreneur, who co-founded bingo platform Imperus Technologies, followed by secure team platform Witkit. Also previously co-founded design and marketing firm Lavia Design, where they currently serve as CEO alongside their Owl.co role.
Sohrab Merat
(CPO)Previousy co-founded Darvak Digital Solutions, Lavia Design (where he is currently a CTO alongside his work at Owl.co), Imperus Technologies, and Witkit.
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