Senior Deep Learning Engineer

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.

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.

This role is 5 days per week onsite in our Chelsea office in NYC.

Responsibilities :

• 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.

Minimum Qualifications :

Preferred Qualifications :

Why join Owl?

Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

Our small, nimble team makes swift decisions and encourages

direct communication and innovation through a flat organizational structure. You'll make real, meaningful contributions right from the start.

AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

Salary Range : $150,000 - $230,000

Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

Join us at Owl.co and be part of a dynamic team driving innovation in the insurance industry. If you're passionate about leveraging AI to tackle real-world challenges and eager to make a meaningful impact, we'd love to hear from you.

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