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Added 43 mins ago
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Toast

Head of Machine Learning

Vancouver, BC, Canada

Pay: $160,000 to $180,000 USD / year
Job type: Full-time
Apply by: Oct 25, 2026
Experience: 5 to 10 years of experience in machine learning, AI, and software development
Posting language: English
Posted: Sep 25, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

Toast is recruiting on behalf of a fast-growing public safety technology company that is transforming the global water rescue industry. Their flagship product is a handheld sonar device with built-in AI detection that helps first responders locate drowning victims faster and more effectively. As the company expands its global reach and develops new product lines, they are looking for a driven, hands-on Head of Machine Learning to lead ML strategy, oversee end-to-end development, and solve some of their most challenging embedded ML problems. This role sits at the centre of the company's core technology and strategic vision.

Responsibilities

Define and execute the machine learning strategy in line with evolving product and business objectives
Lead the design and evolution of signal processing and machine learning architectures for production systems
Establish technical standards, best practices, and development processes for ML systems
Evaluate emerging ML technologies and identify opportunities to strengthen product capabilities and competitive advantage
Provide technical leadership on architecture decisions, model selection, and system performance optimization
Oversee the development, validation, deployment, and lifecycle management of machine learning models
Oversee the design, optimization, and scalability of signal processing pipelines
Define model performance metrics and drive continuous improvement through rigorous evaluation and experimentation
Ensure production ML infrastructure, data pipelines, and supporting databases are robust, maintainable, and scalable
Oversee ML Ops practices including model versioning, reproducibility, and monitoring
Set standards for dataset acquisition, quality, governance, and lifecycle management
Lead planning and execution of field data collection initiatives to meet product development and validation goals
Innovate on methods for data labeling, preprocessing, quality assurance, and representativeness across operational scenarios
Continuously expand and refine training datasets to improve model accuracy and generalization
Partner with Product Management, Engineering, and executive leadership to define the AI roadmap and prioritize initiatives
Translate customer needs and operational challenges into innovative ML solutions and product capabilities
Provide technical leadership during customer demonstrations, field trials, and critical deployments
Serve as the organization's subject matter expert on machine learning, advising on technical direction and product strategy
Lead and mentor a high-performing machine learning team within the product development group
Set project priorities, resource allocation, and development plans to deliver on strategic objectives
Drive project execution through effective planning, risk management, and tools such as Jira
Build a culture of technical excellence, innovation, collaboration, and continuous learning through technical reviews and knowledge sharing

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Physics, or a related field
5 to 10 years of experience in machine learning, AI, and software development
Proven track record leading machine learning teams and delivering quality products
Experience with embedded ML on hardware or IoT devices
Experience translating real-world applications and customer needs into ML solutions
Strong proficiency in Python, with hands-on experience using PyTorch and Scikit-learn
End-to-end ML project experience, including data pipelines, data cleaning, preprocessing, model design, training, validation, and deployment
Experience with project management tools such as Jira
Experience working with cloud platforms such as AWS or Azure
Strong technical communication, documentation, and organizational skills

Nice to haves

Familiarity with sonar systems and sonar data would be a plus
Familiarity with signal processing is considered an asset
Experience with computer vision, such as object detection and Fourier transforms, would be a plus
Experience with IP strategy in AI innovation is considered an asset
Comfort working in open water settings year-round (with appropriate PPE) would be a plus

Benefits

Salary range of $160,000 to $180,000, plus performance-based incentives
Employee ownership opportunities, so you share in the value you help build
Health, dental, and vision coverage
4 weeks paid vacation plus a company-wide closure from December 24 to January 1
Relocation support available for candidates based outside of Vancouver
Flexible and dynamic work environment
Own the core algorithms behind a device first responders use in real rescues, where faster detection means victims are found sooner
Shape the AI roadmap as the company expands globally and launches new product lines
Build and lead the ML team from the ground up, with direct influence on the design and development of the end product
Application Review

Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!

Vetting Call

If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.

Profile Creation

Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.

Client Submission

After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.

Apply About employer

More about this job

Responsibilities

Define the machine learning strategy and lead the design, development, validation, deployment, and ongoing improvement of embedded ML models and signal-processing systems. Build and mentor the ML team, oversee data and production infrastructure, and partner with product and engineering leaders to deliver the AI roadmap and support field deployments.

Requirements

Requires a bachelor's or master's degree in a relevant field and 5 to 10 years of experience in machine learning, AI, and software development, including leadership of ML teams and delivery of production products. Candidates should have embedded ML experience, strong Python, PyTorch, and Scikit-learn skills, end-to-end ML project experience, cloud platform familiarity, and strong communication and organizational abilities.

Skills

Machine Learning
Embedded Machine Learning
Signal Processing
Python
PyTorch
Scikit-Learn
Machine Learning Operations
Data Pipelines
Model Development and Deployment
Dataset Governance
Cloud Platforms
AWS
Azure
Team Leadership
Project Management
Jira

Benefits

Performance-Based Incentives
Employee Ownership Opportunities
Health Coverage
Dental Coverage
Vision Coverage
Four Weeks of Paid Vacation
Company-Wide Holiday Closure
Relocation Support
Flexible Work Environment

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Embedded Machine Learning
Sonar
Signal Processing
Python
PyTorch
Scikit-Learn
Machine Learning Operations
Data Pipelines
Data Cleaning
Data Preprocessing
Model Training
Model Validation
Model Deployment
Model Monitoring
Dataset Governance
Data Labeling
AWS
Azure
Jira
Computer Vision
Object Detection
Fourier Transforms
IoT
Field Data Collection
Model Performance Metrics
Reproducibility
Water Rescue
Embedded Systems

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