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Added 6 hours ago
CI
Sr. Professional Engineer
Calian in Space & Technology
Ottawa, ON
- Full-time
Calian is looking for a Senior Professional Engineer for their client. Their client is responsible for the procurement and sustainment of a wide array of equipment fleets for the…
Added 12 hours ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
Added 14 hours ago
S
Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
We're hiring a senior Applied AI engineer to own the technical direction of our AI systems: retrieval, generation, verification, evaluation, and keeping systems running in production.…
Added 18 hours ago
R
Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 18 hours ago
W
AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll…
Added 1 day ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 day ago
I
IMPONEXPO BUILDER COHORT
ImpoNexpo
Toronto, ON
- Full-time
You may be a senior engineer, AI researcher, product designer, technical founder, data specialist, research engineer, open-source contributor or an unusually capable emerging talent.
Added 1 day ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 1 day ago
T
Senior Software Engineer, Site Reliability Engineering
Thumbtack
Remote, Canada
- Full-time
- Remote
…experience. Our work is high leverage impacting how Engineering, Applied Science, and many other teams deliver, run, and observe…
Added 1 day ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and…
Added 1 day ago
C
Lead Threat Intelligence Engineer
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
This is a senior individual-contributor role, where you'll be expected to establish and formalize how Clio tracks adversaries. This is the first hire in a function Clio intends to grow -…
Added 1 day ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 2 days ago
W
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 2 days ago
RS
Senior AI Business Analyst
R Systems
Canada
- Contract
We are seeking Senior AI Business Analyst serves as a strategic advisor, product analyst, and transformation leader responsible for identifying, shaping, and delivering Artificial…
Added 2 days ago
Senior Software Development Engineer, Amazon Private Brands
Amazon
Vancouver, BC
We are looking for an experienced Software Development Engineer III who's comfortable at all levels of the stack to design, build, and operate AI-powered systems at Amazon scale. Whether…
Added 2 days ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 2 days ago
Développeur.se de logiciels sénior.e - applications réseau / Senior Software Developer - Networking
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 2 days ago
Développeur.se de logiciels sénior.e - outils de moteur génératif / Senior Software Developer - Generative Engine Tools
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 2 days ago
M
Senior Applied AI Engineer – GenAI & Actuarial Systems
Manulife
Toronto, ON
- Full-time
Engineer features from large structured and unstructured datasets and ensure solutions remain stable as data and assumptions evolve.
Added 2 days ago
G
Senior Software Engineer - Conversational AI (Python)
Glia
Remote, Canada
- Full-time
- Remote
…quality is one of the hardest and most interesting problems in applied AI right…
Added 3 days ago
R
Senior Applied AI Engineer
RaiseDesk
Remote, Canada
- Full-time
- Remote
We are looking for an Applied AI Engineer to own the intelligence layer of the platform: the data that powers investor discovery, the models and retrieval that rank and explain it, and the…
Added 3 days ago
R
Senior Software Engineer (Voyager)
Relay
Remote, Canada
- Full-time
- Remote
…reinvent banking, and we’re looking for a curious, impact-driven Senior Software Engineer (Voyager) to join our growing team – someone who thrives on taking smart risks, experimenting…
Added 3 days ago
HR
Design Engineer
Halifax Regional Municipality
Dartmouth, NS
- Full-time
The Halifax Regional Municipality (HRM) is inviting applications for the permanent, full-time position of Design Engineer in the Design & Asset Management group of Public Works.
Added 3 days ago
R
Senior Software Engineer
Raydar
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer, you will build across the product, from full-stack features to real-time voice and LLM-powered capabilities. You may also work directly with customer-facing…
Added 4 days ago
J
Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
- Full-time
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…

Jobber

Staff Data Scientist, Applied ML

AB, Canada
Edmonton, AB, 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

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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!

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More about this job

Responsibilities

Own and improve SignalGraph, build and evaluate graph-based retrieval-augmented generation systems, and manage production machine-learning systems end to end, including training, serving, monitoring, and retraining. Set technical standards for ML engineering and evaluation, mentor colleagues, and partner with senior leaders and cross-functional teams to turn data into reliable business decisions.

Requirements

Requires end-to-end production ML experience, strong statistical reasoning, expert SQL and production-grade Python, and hands-on expertise in deep learning, transformers, ranking, representation learning, and production LLM systems. Candidates should also have experience with large-scale data platforms and cloud infrastructure, plus strong communication and stakeholder-alignment skills; graph expertise is especially valuable.

Skills

Production Machine Learning
Statistical Analysis
SQL
Python
Deep Learning
Transformer Architectures
Large Language Models
Retrieval-Augmented Generation
Ranking Systems
Graph Representation Learning
MLOps
Model Serving
Model Evaluation
Apache Airflow
Snowflake
AWS

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Applied Machine Learning
SignalGraph
Graph Representation Learning
Graph Neural Networks
Knowledge Graphs
Neo4j
Retrieval-Augmented Generation
Large Language Models
Context Management
Transformer Architectures
BERT
RNN
CNN
Ranking
Feature Stores
MLOps
Model Serving
Model Monitoring
Drift Detection
Retraining
SQL
Python
Snowflake
Snowpark
Apache Airflow
AWS
GCP
Azure
Docker
Kubernetes

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