Senior Deep Learning Engineer

owl.co; Toronto; On-site; CAD 150,000 - 230,000; Full time

Job summary

A dynamic company is seeking a Senior Deep Learning Engineer to enhance their AI-driven solutions in insurance. This role involves developing advanced algorithms and models while collaborating with cross-functional teams. The right candidate will have substantial experience in machine learning and computer vision, making a meaningful contribution to innovative projects.

Benefits

100% healthcare premium coverage

4 weeks vacation plus sick days

Wellness stipend for fitness and development

Daily team lunches

Bi-annual offsites

RRSP matching

Qualifications

• 2+ years of experience in computer vision and/or machine learning.
• Experience training and deploying deep learning models.
• Ability to communicate research effectively.

Responsibilities

• Develop machine learning algorithms and models.
• Conduct research to enhance product capabilities.
• Collaborate with teams on system design and optimization.

Skills

Computer Vision

Machine Learning

Generative AI

Problem Solving

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 downtown Toronto 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

Requirements

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, SIGGRAPH)
• 4+ years of work experience in an industry, university, or government lab
• Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team
• Market Leadership : We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms
• Lean & Impact Driven 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
• Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.
• 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• IT Services and IT Consulting

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Senior Deep Learning Engineer • Toronto, ON, Canada