Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 mins ago
A
Project Lead - Tooling
AtkinsRéalis
Mississauga, ON
- Full-time
Added 16 mins ago
AI
Adobe Site Reliability Engineer - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Senior Site Reliability Engineer - AEM - Content Delivery Network
Added 16 mins ago
AE
Civil Technologist
Associated Engineering
Vancouver, BC
- Full-time
Added 16 mins ago
AE
Project Manager, Roadways
Associated Engineering
AB · Edmonton, AB
- Full-time
Registered as a Professional Engineer with APEGA or Registered with ASET (or eligible for registration).
Added 16 mins ago
AE
Project Manager, Bridges
Associated Engineering
Calgary, AB
- Full-time
Registered, or eligible for registration, as a Professional Engineer with APEGA.
Added 16 mins ago
QW
Network Engineer
Quantum World Technologies Inc.
Calgary, AB
- Full-time
A Network Engineer is responsible for the setup configuration running network deployments and buildouts This includes but not limited to hands on work in a datacenter lab environment…
Added 19 mins ago
Electrical Field Coordinator - Energy Construction
Kiewit
Calgary, AB · Edmonton, AB
…in a professional and ethical manner. Reporting to a Project Engineer or Project Manager, your main functions will include contract administration, project planning, scheduling, and project…
Added 19 mins ago
Junior Process Engineer
WSP
Vancouver, BC
Join our water treatment team in Vancouver as a Junior Process Engineer, where you will contribute to a variety of water and wastewater treatment projects across industrial, mine water, and…
Added 20 mins ago
H
Traction Power System Engineer
Hitachi
Toronto, ON · (STS) Toronto - Ontario Line Project
- Full-time
Hitachi Rail (STS) is seeking an enthusiastic self-motivated Traction & Power Supply Engineer to work on our RSSOM project. As the successful candidate your ideas for continuous improvement…
Added 20 mins ago
FS
Senior Platform Engineer, Performance Management
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior Platform Engineer is responsible for managing the technical delivery lifecycle of Dynamics 365 Finance & Operations (D365 F&O), including source control, branching strategies,…
Added 20 mins ago
Construction/Bridge Engineer
Government of Alberta
AB
The Bridge Engineer coordinates the design, construction, rehabilitation, and replacement of bridge and bridge-sized culvert projects, ensuring compliance with applicable codes, standards,…
Added 28 mins ago
Backend / API Engineer, Radar
Stripe
Toronto, ON
As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. Your work will span backend services, enterprise APIs,…
Added 39 mins ago
AI
DevOps Solution Engineer – GitHub Actions | CI/CD | Jenkins | Maven | Kubernetes | Docker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
As a solution engineer, you will be responsible for supporting application teams in all their DevOps needs and implementation. You will be working directly with the application teams to…
Added 39 mins ago
EV
Engineer In Training, Short Range
Elk Valley Resources
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Senior Engineering Supervisor, Short Range Planning, the Engineer-in-Training (EIT) Mining is responsible for ensuring the engineering department has the as-built data
Added 40 mins ago
PC
DevOps Engineer, Capital Markets
Pyramid Consulting, Inc
Halifax, NS
- $42 CAD / hour
- Contract
Immediate need for a talented DevOps Engineer, Capital Markets. This is a 06+months contract opportunity with long-term potential and is located in Halifax, NS(Hybrid). Please review the…
Added 40 mins ago
PA
Site Reliability Engineer
Porter Airlines Inc.
Toronto, ON
- Full-time
Porter is hiring an experienced Site Reliability Engineer to help improve the reliability, scalability, and performance of a modern cloud platform supporting thousands of users.
Added 40 mins ago
PI
Senior Embedded Software Engineer
Pulsenics Inc.
Toronto, ON
- Full-time
Pulsenics is seeking a Senior Embedded Software Engineer with 7+ years of experience to lead and evolve the embedded firmware architecture that underpins our hardware and software solutions…
Added 40 mins ago
I
Database Automation Test Engineer
Infoya
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in database testing and automation, data pipeline testing and ETL validation. The…
Added 55 mins ago
EV
Engineer In Training, Short Range
Elk Valley Resources
Elkford, BC
- $91,300 to $126,800 CAD / year
Reporting to the Senior Engineering Supervisor, Short Range Planning, the Engineer-in-Training (EIT) Mining is responsible for ensuring the engineering department has the as-built data
Added 55 mins ago
S
Lead Solution Engineer, ECS, Public Sector
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…to Canadian and US State and Local customers. The Solution Engineer is responsible for presenting our solutions based on the customer’s business and value drivers, seamlessly weaving…
Added 55 mins ago
W
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP
Vancouver, BC
- Full-time
Translate complex geomechanics into practical mine designs. As a Principal Rock Mechanics Engineer - Underground and Mass Mining, you will provide senior technical leadership on deep,…
Added 55 mins ago
UO
Refrigeration Operator – Ice Maker 3
University of British Columbia
Vancouver, BC · UBCV | Doug Mitchell Thunderbird Sports Centre (THUN)
- $5,764 to $6,222 CAD / month
- Full-time
Under the general direction of the Chief Engineer and Senior Manager, Arena Operations, this position is responsible for ammonia refrigeration ice plant making operations, daily routine…
Added 1 hour ago
EV
Engineer-in-Training, Drill & Blast
Elk Valley Resources
Sparwood, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Drill and Blast Engineer, Mine Engineering, the Engineer-in-Training is responsible for: designing blast patterns, generating loading instructions, and determining blast…
Added 1 hour ago
PI
Full Stack Software Developer
Pulsenics Inc.
Toronto, ON
- Full-time
This is a hands-on role for a scrappy, systems-minded engineer who enjoys ownership, understands trade-offs, and is comfortable working across the full stack, from device-facing APIs to…
Added 1 hour ago
A
Senior Engineer - RTOS Canada
Aptiv
Ottawa, ON
- Full-time
As an OS engineer, you will develop components for WR next generation real-time operating system. Leveraging your operating systems expertise, you will help design and implement new…

Jobber

Staff Data Scientist, Applied ML

Vancouver, BC, Canada

This role has a minimum annual salary of $145,900 CAD, a midpoint of $171,600 CAD and a maximum salary of $197,400 CAD designed to reflect the progression from learning the ropes to truly excelling. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: This role has a minimum annual salary of $145,900 CAD, a midpoint of $171,600 CAD and a maximum salary of $197,400 CAD designed to reflect the progression from learning the ropes to truly excelling.
Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

Original job description

Are you a Machine Learning practitioner who is technically deep and commercially sharp?

If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn't like it used to be - the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That's why we put the power and flexibility in their hands to run their businesses how, where, and when they want!

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada's Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail's Canada's Top Growing Companies list, and Deloitte Canada's Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we've come a long way from our first customer in 2011 - but we've just scratched the surface of what we want to accomplish for our customers.

We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals.

The team:

Similar to how Jobber empowers small businesses with the tools and insights they need to succeed, the Strategy and Analytics Department ensures our people at Jobber have the tooling, data insights, and strategic direction to excel in our shared mission. We turn data into actionable insights, and critical business needs into impactful software, working with multiple teams and departments across the company. Strategy & Analytics serves as a central hub that drives business outcomes in all corners of Jobber's ecosystem.

Within that department, Data Science is the predictive and prescriptive arm. We're a small, hungry team with an outsized footprint. We work in two-week sprints, demo to the whole department, and expect each other to bring a point of view rather than a ticket.

SignalGraph is our next major project: a company-wide metric graph that connects organizational activity and outcomes so teams can trace metric movement to root causes, investigate faster, and make better decisions.

The role:

Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using techniques such as graph representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's product.

This is a senior individual contributor role with strong architectural scope. You'll be the person who decides how ML systems at Jobber are built, evaluated, and trusted and you'll be doing it against a dataset most companies our size don't have: high-velocity SaaS event data, scheduling data, and payments data across hundreds of thousands of service professionals and millions of their clients, plus a rich body of unstructured sales and support text.

The Staff Data Scientist, Applied Machine Learning will:

Continue building, improving, and maintaining SignalGraph: evolve metric-family contracts, keep segment and causal-edge catalogs trustworthy, operate the Neo4j and series-refresh pipeline, and strengthen investigation diagnostics so teams can trace metric changes to root causes and make faster decisions from governed evidence..
Design, build, and evaluate retrieval-augmented generation (RAG) systems on top of that graph. You’ll own retrieval quality, context management, and the evaluation harness that proves the system is actually right, not just fluent.
Own production ML end-to-end: training pipelines, real-time serving, monitoring, drift detection, and retraining. When a model is live, its uptime, latency, and accuracy are yours.
Establish systematic evaluation and regression testing as a standard for the team - so model and LLM system quality is measured and defended over time rather than assessed once at launch.
Set the technical bar and multiply the team: drive MLOps and ML engineering standards, shape our feature store and platform roadmap, review peers' work, and mentor other scientists on graph and deep learning methods.
Partner directly with senior leadership. Much of what you build will be used by Senior Leaders, Customer Analytics, Business Intelligence, and Product to make decisions against Jobber's North Star goals. You'll present your own work, defend your assumptions, and help cross-functional partners reframe how they approach a problem.
Stay current, and bring it back. We expect this role to be the most informed person at Jobber on developments in AI/ML methodologically, not just as a consumer of tools, and to translate that into shipped capability.

To be successful, you should have:

Production ML experience, end-to-end. You've trained, deployed, served, and maintained models that acted on real users (not just scored offline) You've learned the hard lessons about retraining, drift, and technical debt that come with it.
A strong statistics foundation. You can reason about bias and variance, justify a loss function, and tell signal from noise without hand-waving.
Expert SQL and production-grade Python skills.
Depth in modern ML methods: Deep learning and neural architectures, transformers/BERT-family models, RNN/CNN, ranking, and representation learning, with hands-on experience applying LLMs in production systems, including RAG and context management.
Experience designing for the real cost of being wrong. You've built or tuned custom and asymmetric loss functions where a miss in one direction is far more expensive than the other, and you can explain the business reasoning behind the choice.
Experience with large data in production environments and the platforms that support it. ML/AI platforms such as Snowflake, orchestration with Apache Airflow, and cloud infrastructure (AWS strongly preferred; GCP or Azure equivalent considered).
Strong communication and stakeholder alignment skills. This team's work only lands if everyone shares the same understanding of what the data means. You can take a room of technical and non-technical partners from confusion to alignment, present uncertainty honestly, and influence without authority.
Ownership of quality over shipping speed alone. You want to know why something works and how to make it better. You don't accept a model's current performance as its ceiling, and you don't outsource your understanding of your own code to an AI assistant.

It would be nice if you had:

Graph experience: Graph theory, graph neural networks, knowledge graphs, or graph databases such as Neo4j. Rare, and the single most valuable thing you could bring to this role.
A software engineering background: Services and model serving (REST/gRPC), Docker/Kubernetes, CI/CD, feature stores.
Experience with Snowflake, including Snowpark and Snowpark Container Services, or a comparable path from warehouse to deployed model.
Experience building LLM evaluation infrastructure, safety layers, or LLMOps for customer-facing AI.
Exposure to risk, fraud, or fintech modelling, or to recommendation and ranking systems at scale.

Compensation:

At Jobber, we also believe that compensation should be transparent, fair, and supportive of your experience and growth. This role has a minimum annual salary of $145,900 CAD, a midpoint of $171,600 CAD and a maximum salary of $197,400 CAD designed to reflect the progression from learning the ropes to truly excelling.

We design our compensation to reflect each new hire's skills, experience, and the complexity of the role, ensuring a fair and competitive salary.

Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual's current capabilities and their opportunity for future growth.

Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You'll have access to a dedicated talent development program that includes career coaching and opportunities for career development.

We believe in transparency and open conversations about compensation. If you have any questions about our approach, we're happy to discuss them throughout the hiring process!

What you can expect from Jobber:

A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
To work with a group of people who are humble, supportive, and give a sh*t about our customers.

We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.

A bit more about us:

Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!

Apply About employer

More about this job

Responsibilities

Own and improve SignalGraph and build graph-based retrieval-augmented generation systems, including retrieval quality, context management, and evaluation. Lead production ML end to end, establish quality and engineering standards, mentor scientists, and partner with senior leaders and cross-functional teams to deliver reliable, scalable decision systems.

Requirements

Requires end-to-end experience training, deploying, serving, and maintaining production ML models, a strong statistical foundation, and expert SQL and production-grade Python skills. Candidates should have hands-on expertise in modern deep learning and LLM methods, production data platforms and cloud infrastructure, and the communication skills to align technical and non-technical stakeholders.

Skills

Production Machine Learning
Statistics
SQL
Python
Deep Learning
Transformers
Ranking Systems
Representation Learning
Large Language Models
Retrieval-Augmented Generation
MLOps
Model Evaluation
Graph Machine Learning
Apache Airflow
Snowflake
AWS

Benefits

Equity Rewards
Health And Wellness Stipends
Retirement Savings Matching
Extended Health Benefits
Fully Paid Health Premiums
Stock Options
Career Coaching
Learning And Leadership Programs

Visa sponsorship

Not detected in the job text

Keywords

SignalGraph
Graph Representation Learning
Graph Neural Networks
Knowledge Graphs
Neo4j
Retrieval-Augmented Generation
Large Language Models
Transformers
BERT
RNN
CNN
Ranking
Production Machine Learning
MLOps
Feature Stores
Model Serving
Model Monitoring
Drift Detection
Evaluation Harness
Regression Testing
SQL
Python
Snowflake
Snowpark
Apache Airflow
AWS
GCP
Azure
Docker
Kubernetes

Report this job