About Owl.co

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.

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

• 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 fine-tuning (instruct tuning, SFT, RLHF, etc.).
• Experience communicating research for public audiences or peers.

Preferred Qualifications

• First-authored publications at peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH).
• 4+ years of work experience in an industry, university, or government lab.

Benefits

• Medical: 100% paid medical, dental, and vision coverage.
• Pension: 401K matching.
• Disability: Short & long-term disability.
• Recharge: 4 weeks of paid time off, 10 public holidays & 5 additional sick days.
• Wellness: $1,200/year toward your fitness expenses, favorite activities, or personal wellness.
• Team Lunches: Weekly team lunches in the office.

Salary Range

Salary Range: $150,000 - $230,000. Our salary ranges are benchmarked and are determined by role and level. The range displayed 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.