Jobs in Canada

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Added 2 months ago
Technician I
Vestas
Tiverton, ON
…committed to advancing energy solutions driven by innovation, engineering excellence, and real-world impact. Join us and be part of an industry that’s transforming how the world is powered,…
Added 2 months ago
FN
Supervisor, Quality
Framatome North America
Pickering, ON
- Full-time
Customer: Develops and maintains quality management systems so that the company delivers products and services in line with customer and regulatory requirements.
Added 2 months ago
P&
Manufacturing & Engineering Technical Co-Op - Jan 2027 Start
Procter & Gamble
Belleville, ON
- Full-time
You will be given a detailed scope of work to deliver exciting manufacturing and engineering projects during your term, which could range from process control and engineering, systems…
Added 2 months ago
P&
Manufacturing & Engineering Technical Co-Op - May 2027 Start
Procter & Gamble
Belleville, ON
- Full-time
You will be given a detailed scope of work to deliver exciting manufacturing and engineering projects during your term, which could range from process control and engineering, systems…
Added 2 months ago
W
Senior Instrumentation & Controls Engineer
Wood
Calgary, AB
- Full-time
The role will support both greenfield and brownfield projects and may involve engineering, procurement, fabrication, and construction support activities. Projects span the full project…
Added 2 months ago
IE
HR Administrator
Inviro Engineered Systems
Scarborough Bluffs Park, ON
- Full-time
…your career? As one of Canada’s leading Mechanical/Electrical engineering firms, INVIRO is looking for a dedicated team member to join our growing team. Working with us means you'll be part…
Added 2 months ago
W
Senior Project Manager/Engineer Site Development, Land Development
WSP
AB · Edmonton, AB
- Full-time
Deliver engineering solutions for private site developments; stormwater management systems, sanitary and water servicing, roadway geometry, site grading, and utility coordination.
Added 2 months ago
I
Senior Director - Health and Safety
Innergex
Longueuil, QC
- Full-time
Lead the digital transformation and modernization of Health & Safety systems, processes and reporting.
Added 2 months ago
Lead Structural Engineer, Water/Wastewater
WSP
Vancouver, BC
Lead structural design packages using engineering software, hand calculations, and design standards to deliver complete structural systems.
Added 2 months ago
Warehouse Supervisor
HelloFresh
Mississauga, ON
Train Warehouse Staff: Provide training to warehouse personnel on inventory procedures, safety regulations, and systems to maintain high standards of efficiency and accuracy.
Added 2 months ago
Engineering Team Lead- Global Payments Engineering ( Future Opportunites)
Scotiabank
Toronto, ON
The Engineering Manager for Scotiabank’s Low Value Payments Technology leads the engineering team responsible for maintaining mission-critical 24/7 payment systems. Our platforms enable…
Added 2 months ago
CI
Finance Transformation & PMO Advisor
Celestica International LP
Toronto, ON
- $104,000 to $138,000 CAD / year
Collaborates with IT teams to configure and support strategic finance systems and initiatives.
Added 2 months ago
MN
Account Manager
Modern Niagara
AB
- $90,000 to $115,000 CAD / year
- Full-time
Strong understanding of HVAC systems, maintenance practices, and building operations.
Added 2 months ago
Techno-Functional Consultant
GURUS Solutions
Montreal, QC
Education: Bachelor’s degree in Information Systems, Computer Science, Software Engineering, Business Technology, or equivalent practical experience.
Added 2 months ago
M
Senior Business Analyst (16 months temp role)
Metrolinx
Canada
- Full-time
Completion of a post-secondary degree in Computer Science, Information Systems, Engineering, Business Process Improvement, or a related discipline – or a combination of education, training…
Added 6 months ago
Quality Production Associate - Machining-Afternoon
INNIO
Welland, ON
Execute Quality Assurance activities to ensure products comply with all regulatory, QMS, customer, and engineering requirements.
Added 2 months ago
Software Developer, Android, XR System UI
Google
Waterloo, ON
Proficiency with AI-based workflows and an ability to take a systems thinking approach to your development process.
Added 3 months ago
PL
Electrical Technician - High Voltage Lab
Powertech Labs
Surrey, BC
- $64,132 to $69,153 CAD / year
- Full-time
We are always guided by our values as a global clean-technology and engineering company:
Added 2 months ago
OO
Quantity Surveyor
OLD OAK PROPERTIES
London, ON
- $53,000 to $60,000 CAD / year
- Full-time
Must have a reliable, insured vehicle and a valid G-class driver’s license with a clean driving record
Added 2 months ago
AL
Senior Facilities Engineer (Electrical) - Point of Care - (Ottawa)
Abbott Laboratories
Ottawa, ON
- $87,000 to $127,600 CAD / year
- Full-time
This position is based at our Ottawa office within the Point of Care division and requires on‑site presence five days per week
Added 2 months ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week
Added 2 months ago
RA
Engineering Designer, Water
R.V. Anderson Associates Limited
Toronto, ON
- $75,000 to $85,000 CAD / year
- Full-time
RVA’s Waterloo office is looking for an Engineering Designer to join their team.
Added 2 months ago
AC
Electrical Engineer-Power Metering /Protection Relays / Instrume
Accuenergy Canada Inc
Toronto, ON
- $55,000 to $70,000 CAD / year
- Full-time
Bachelor’s or Master’s degree or PhD in Electrical Engineering, Power Systems, or related field.(Required)
Added 4 months ago
M
NEW AI Deployment Strategist
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 4 months ago
U
Software Engineer – MLOPS
Ubisoft
Montreal, Quebec
- Full-time
As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players.

OpenTable

Staff Machine Learning Engineer

Toronto, ON, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Experience: 7+ years of professional software engineering experience, with a substantial portion spent building and operating machine learning systems in production.
Posting language: English
Posted: Sep 10, 2026

Original job description

This hybrid role requires working in the office two days per week.

With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

About the Role

The Data Science team at OpenTable supports a wide range of initiatives targeting diners, restaurants, and internal stakeholders. The team is expanding its capabilities across multiple areas, including building AI Agents to power restaurant search and discovery as well as AI-augmented products for restaurant management.

As a Staff Machine Learning Engineer, you will set the technical direction for how OpenTable builds, serves, and operates machine learning systems in production. You will partner with Machine Learning Scientists and engineers across the company to take models from experimentation to reliable, monitored production services --- and you will define the standards and patterns the rest of the team builds on.

This is a deliberately engineering-forward role. We are looking for an engineer who builds and operates production systems, rather than a modeller who deploys occasionally. The strongest candidates will bring hard-won judgment from more than one organization about how mature ML teams actually work, and the ability to apply it here. This posting is for an existing vacancy.

Key Initiatives

AI Agents for restaurant discovery
Personalized recommendations for diners
Developing and serving high-throughput predictive models for strategic marketplace optimization initiatives
Building and integrating tools into our agentic platform via LLM tool calls, MCP, and Agent-to-Agent protocols
Multimodal understanding of restaurant content (text, images, geospatial)
Creating an AI-powered platform for restaurant partners to gain insights into their business performance and diner demand

What You'll Own

Technical direction for how models are served, deployed, and monitored; the architecture, the patterns, and the tradeoffs behind them.
Production ML services that are high-throughput, low-latency, and observable, from design through operation.
Engineering standards for ML systems: testing, CI/CD, observability, alerting, rollback, and on-call practice.
Ambiguous, cross-team problems: scoping them with Product Managers and stakeholders, then ruthlessly prioritizing what the team actually builds.

Requirements

7+ years of professional software engineering experience, with a substantial portion spent building and operating machine learning systems in production.
Breadth of industry perspective. You have seen how ML systems are built and operated at more than one organization, and can speak to industry-standard practices, common reference architectures, and where the real tradeoffs lie.
Hands-on experience with a major cloud platform (AWS, GCP, or Azure) as a primary model-serving environment, including its managed services for deployment, scaling, and observability.
Deep engineering fundamentals: distributed systems, service and API design, concurrency, latency and throughput tradeoffs, testing discipline, and genuine production ownership including on-call.
Strong command of Python and proficiency in at least one strongly typed language (Java preferred).
Demonstrated experience training, serving, and deploying ML models at production scale.
Production MLOps ownership: model and feature monitoring, drift and data-quality detection, retraining and promotion workflows, versioning, safe rollout and rollback, and incident response when a model misbehaves.
A track record of technical leadership: leading multi-quarter projects, influencing engineering decisions beyond your immediate team, and coordinating with Product Managers and other stakeholders.

Strong Preference

Serving LLMs in production: inference infrastructure, GPU utilization, batching and caching strategies, quantization, and managing the latency/cost frontier (vLLM, TGI, TensorRT-LLM, or similar).
Applied ML depth in ranking, recommendations, classification, NLP, RAG, and/or agentic systems.
Kubernetes in production at meaningful scale.
Experience developing ETL jobs (especially Spark) or data warehouse infrastructure.
Familiarity with A/B testing design and analysis best practices.
Experience introducing new tooling or platform capability to a team and driving adoption.

Tech Stack

We do not expect experience with everything on this list; it is here so you know what you would be working with.

Pipelines: Spark, Airflow, EMR, SageMaker, Snowflake, S3, Delta Lake
ML: PyTorch, XGBoost / CatBoost, LLMs, LangChain, LangSmith
Deployment: Docker, Kubernetes, Helm, Prometheus, Graphite / Grafana
Infrastructure: Kafka, ElasticSearch, Postgres, MongoDB, Redis, Qdrant
Build: Poetry, FastAPI, Flask, Gunicorn / Uvicorn, Spring, Maven, TeamCity

Why This Team

The ML team at OpenTable has two opposing challenges which manifest themselves as opportunities:

OpenTable is the world's leading provider of online restaurant reservations, seating more than 25 million diners per month via online bookings across approximately 70,000 restaurants. It has a massive wealth of diner and restaurant data going back over 25 years.
OpenTable fields a lean team, with just over 1,600 employees globally. The ML team is currently fourteen people, but striving to grow.

As a member of the team, you will benefit from these factors because your projects will have sufficient data and usage to be interesting and have a meaningful impact, and you will have the opportunity to work on a variety of interesting projects across the company. However, you will be forced to think critically and ruthlessly prioritize, since the team has finite bandwidth. If this sounds like an interesting challenge, we look forward to hearing from you.

Benefits and Perks

Work from (almost) anywhere for up to 20 days per year
Focus on mental health and well-being:
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to Headspace
- Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Focus on your career growth:
- Development Dollars
- Leadership development
- Access to thousands of on-demand e-learnings
Travel Discounts
Employee Resource Groups
20 days of paid time off
Private health and dental insurance
Life and Disability insurance

The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week - giving employees the best of both worlds: in-person collaboration and flexibility.

There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve - and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

You will define the technical direction for building, serving, and operating machine learning systems in production while partnering with cross-functional teams. You will also own the engineering standards for ML services, including architecture, observability, and CI/CD patterns.

Requirements

Candidates must have 7+ years of professional software engineering experience with a strong focus on production machine learning systems. Proficiency in Python and a strongly typed language like Java, along with hands-on experience in cloud platforms and MLOps, is required.

Skills

Machine Learning
Python
Java
AWS
GCP
Azure
Kubernetes
MLOps
Distributed systems
LLMs
Spark
PyTorch
XGBoost
System architecture
API design
Technical leadership

Benefits

Paid parental leave
Paid vacation
Birthday time off
Paid volunteer time
Development dollars
Leadership development
On-demand e-learnings
Travel discounts
Private health insurance
Dental insurance
Life insurance
Disability insurance
Therapy sessions
Headspace subscription
Annual company-wide week off

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
MLOps
Python
Java
AWS
GCP
Azure
Kubernetes
Spark
PyTorch
XGBoost
LLMs
LangChain
Kafka
ElasticSearch
Postgres
Redis
Qdrant
Docker
CI/CD
Observability
Distributed Systems
API Design
Data Science
Predictive Modeling
Recommendation Systems
NLP
RAG
Agentic Systems

Seniority

Senior

Perks

Generous paid time off
Parental leave
Retirement plan
Performance bonus
Stock or equity
Employee discount

Tools

Spark
Airflow
SageMaker
Snowflake
PyTorch
Docker
Kubernetes
Kafka
Grafana
Prometheus

Languages

English

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Work requirements

Jobs in Canada