Owl.co

Senior Deep Learning Engineer

Toronto, Ontario, Canada

$150,000 – $230,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Insurance TechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science or a related technical field, or a PhD in computer vision and/or machine learning, with a minimum of 2+ years of experience in computer vision and/or machine learning, either in industry, academia, or a government lab. Applicants should demonstrate experience solving complex problems, evaluating alternative solutions, and communicating research effectively. Furthermore, experience with Generative AI technology and model finetuning techniques such as instruct tuning, SFT, and RLHF is required, along with preferred publications at peer-reviewed conferences.

Responsibilities

The Senior Deep Learning Engineer will be responsible for developing algorithms based on state-of-the-art machine learning and neural network methodologies, training, evaluating, and deploying deep learning models to enable Owl products, and conducting research projects to advance product capabilities. They will also collaborate closely with cross-functional teams to design and implement systems for detecting and handling illegitimate claims within the insurance industry.

Skills

Deep Learning
Neural Networks
Machine Learning
Natural Language Processing
Generative AI
Model Fine-tuning
Research Communication

Owl.co

Customer insight solutions for insurance claims

About Owl.co

Owl.co provides customer insight solutions tailored for the insurance industry, focusing on improving the claims process for bodily injury claims. The platform uses data analytics and machine learning to analyze both structured and unstructured data, allowing insurance companies to access unbiased information about claimants. This helps insurers make quicker and more informed decisions, ultimately leading to faster resolutions for claimants. Unlike its competitors, Owl.co emphasizes accuracy and efficiency in claim processing, addressing common issues such as delays and incorrect decisions that many claimants face. The company's goal is to streamline the claims process, ensuring that decisions benefit both insurers and claimants, resulting in a more efficient and fair experience.

Key Metrics

Vancouver, CanadaHeadquarters
2018Year Founded
$32.7MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise Software, Financial ServicesIndustries
51-200Employees

Benefits

Competitive compensation
Stock options
Medical, dental, vision, & disability insurance
401k
PTO
Personal development
Hybrid working environment

Risks

Emerging insurtech startups pose a threat to Owl.co's market share.
Rapid tech advancements may strain resources to keep the platform competitive.
Data privacy concerns could impact operations due to regulatory scrutiny.

Differentiation

Owl.co uses AI to detect non-eligible insurance claims efficiently.
The platform aggregates data from trusted sources for unbiased customer insights.
Owl.co's SaaS model offers scalable and flexible service delivery for insurers.

Upsides

Owl.co raised $30M to expand its workforce by 20% in North America.
Integration of AI-driven analytics enhances proactive fraud detection capabilities.
Growing demand for real-time data processing aligns with Owl.co's platform strengths.

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