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Position: Senior Machine Learning Engineer (Vision Specialty)

Company: PavePal

Location: North Vancouver (Hybrid - some office attendance required)

Employment Type: 3-month probation (equity-based), with potential for full compensation package (cash, equity, bonus) upon completion of the probation period.

About PavePal:

PavePal is an innovative AI startup focused on delivering high-quality, actionable data to city planners and decision-makers. Our goal is to make data more accessible and enable municipalities and private agencies to enhance the livability of urban environments. We specialize in creating AI-driven insights that improve infrastructure management, urban planning, and sustainable development.

Our Vision:

We aim to become the primary source of actionable data for infrastructure managers across municipalities and private agencies. By transforming complex data into easy-to-understand insights, we empower decision-makers to make cities more habitable and efficient.

The Role:

We are looking for a Senior Machine Learning Engineer with a specialty in computer vision and advanced modeling. As part of our cutting-edge team, you'll work on developing and deploying machine learning models that analyze infrastructure, detect patterns, and provide data-driven solutions to urban challenges.

Key Responsibilities:

Design and implement advanced computer vision models tailored to urban infrastructure.
Analyze large datasets from various sources to generate actionable insights for city planners.
Collaborate with the engineering and data science teams to integrate machine learning models into scalable solutions.
Optimize and improve machine learning algorithms for real-time applications.
Engage in problem-solving to help cities become smarter and more efficient.

Technical Knowledge Requirements:

Expertise in Machine Learning and Deep Learning techniques, particularly in the area of computer vision.
Proficiency in programming languages such as Python, TensorFlow, PyTorch, and OpenCV.
Strong background in image recognition, object detection, and segmentation algorithms.
Familiarity with cloud services (e.g., AWS, Azure) for deploying ML models at scale.
Experience working with large datasets and data pipelines.
Understanding of data augmentation techniques and neural network optimization.
Knowledge of GIS systems and geospatial data (a plus).

Desired Characteristics:

Self-driven and proactive, capable of working in a fast-paced startup environment.
Strong problem-solving skills with the ability to think critically and creatively.
Effective communicator, both in writing and during meetings.
Team player with a passion for improving urban life through data-driven approaches.
Willingness to work in a hybrid environment, attending meetings in our North Vancouver office once or twice a week.

Work Environment:

This is a hybrid role, with remote work flexibility. However, attendance at our North Vancouver office for team meetings and collaborative sessions once or twice a week is required. We believe in a balanced approach to work-life, where innovation can thrive both in and outside the office.

Compensation:

As we are a startup, your initial 3-month contract will be equity-based, equaling your standard pay rate. Once you have successfully completed the probationary period and are accepted as part of the team, your compensation will consist of a combination of cash, equity, and performance bonuses.

How to Apply:

If you’re passionate about using AI to make cities more livable, we want to hear from you. Please send your resume, sample portfolio, and a cover letter to info@pavepal.ai.

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