Senior Deep Learning Engineer

owl.co; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in AI-driven insurance solutions seeks a Machine Learning Engineer to develop algorithms and deep learning models. This on-site role in Vancouver offers a collaborative environment and the chance to contribute to innovative projects that reshape the insurance industry. Ideal candidates will have a strong background in machine learning, a PhD, and a passion for solving complex problems.

Benefits

100% coverage of healthcare premiums for employees

70% coverage for family members (medical, dental & vision)

Qualifications

• 2+ years of experience in computer vision and/or machine learning.
• Experience in problem-solving and solution tradeoffs.
• Ability to communicate research effectively.

Responsibilities

• Develop algorithms based on machine learning methodologies.
• Train and deploy deep learning models.
• Collaborate on research projects to enhance product capabilities.

Skills

Machine Learning

Computer Vision

Generative AI

Deep Learning

Algorithm Development

Education

Bachelor's degree in Computer Science

PhD in computer vision and/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 :

1. Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
2. Train, evaluate, and deploy deep learning models that enable Owl products.
3. Conduct and collaborate on research projects that advance product capabilities.

Requirements

Minimum Qualifications :

1. Bachelor's degree in Computer Science or relevant technical field.
2. PhD in computer vision and/or machine learning or related areas.
3. 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
4. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
5. Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
6. Experience communicating research for public audiences or peers.

Preferred Qualifications :

1. First-authored publications at peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH).
2. 4+ years of work experience in industry, university, or government labs.
3. Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.
4. 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 previous terms.
5. 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.
6. Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.
7. Healthcare benefits: We cover 100% of the premiums for you and 70% for your family (medical, dental & vision).