Senior Deep Learning Engineer, Owl.co
CA$150-230k
Office located in Yaletown, Vancouver
Insurance fraud detection platform
Open for applications
Insurance fraud detection platform
21-100 employees
Open for applications
CA$150-230k
Office located in Yaletown, Vancouver
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
- Bachelor's degree in Computer Science or relevant technical field
- PhD in computer vision and/or machine learning or related areas
- 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
- Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.)
- Experience communicating research for public audiences or peers
Desirable
- First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH)
- 4+ year(s) of work experience in an industry, university, or government lab
What the job involves
- In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies
- Train, evaluate and deploy DL models that enable Owl products
- Conduct and collaborate on research projects that advance product capabilities
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
$21.7m
SERIES B
Oct 2020
$7m
SERIES A
Total funding: $33.3m
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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