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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.