Senior Deep Learning Engineer

Kinvie; Vancouver; On-site; CAD 150,000 - 230,000; Full time

Job summary

Join a forward-thinking company on a mission to revolutionize the insurance industry through AI. As a key player in this innovative team, you will collaborate with cross-functional groups to design and optimize systems that detect illegitimate claims. Your expertise in machine learning and computer vision will be pivotal in developing cutting-edge algorithms and deploying deep learning models. Experience a supportive work environment with comprehensive healthcare benefits, generous vacation time, and opportunities for professional growth. If you are passionate about leveraging AI to make a real impact, this role is perfect for you.

Benefits

100% Healthcare premiums covered

RRSP matching

4 weeks of vacation

5 additional personal/sick days

Monthly wellness stipend

Daily team lunches

Bi-annual offsites

Qualifications

• 2+ years of experience in computer vision and machine learning.
• Experience with Generative AI technology and model finetuning.

Responsibilities

• Develop algorithms using advanced machine learning and neural network methods.
• Train and deploy deep learning models for Owl products.

Skills

Machine Learning

Computer Vision

Generative AI

Problem Solving

Research Communication

Education

Bachelor's degree in Computer Science

PhD in Computer Vision or Machine Learning

Job description

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 on-site in our Yaletown, Vancouver office.

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 finetuning (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:

• Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision).
• RRSP matching: to help you save for your future.
• Recharge: 4 weeks of vacation & 5 additional personal/sick days.
• Wellness stipend: monthly allowance toward your fitness expenses, favourite activities, or professional development.
• Daily team lunches.
• Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to hang out with teammates IRL at least twice a year.

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.