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Added 5 months ago
OI
Senior Hardware Engineer
Ottawa Infotainment
Ottawa, Ontario · Kanata, Ontario
- Full-time
…high-performance compute, embedded software, safety-critical systems, and AI-driven…
Added 3 months ago
AT
Senior Embedded Firmware Engineer (Contractor)
Arlo Technologies
Richmond, British Columbia · CA - British Columbia - Richmond
- Full-time
Arlo is seeking a talented Senior Embedded Firmware Engineer to develop next-generation IoT and video streaming products. In this role, you will design, implement, and optimize embedded…
Added 3 months ago
C
Hardware Engineer, Power Design, onsite Kanata
Ciena
Ottawa, Ontario
- Full-time
Develop power and ground systems for next generation Optical and Ethernet platform equipment.
Added 3 months ago
GI
Lead Electrification Engineer, Rail + Transit
Global Infrastructure
Remote, Canada
- Full-time
- Remote
…shift toward cleaner, smarter, and more sustainable transit systems. From traction power and overhead contact systems to substations, power distribution, and complex electrical…
Added 3 months ago
GI
Civil Design Engineer, Rail + Transit
Global Infrastructure
Remote, Canada
- Full-time
- Remote
…we enhance conventional designs with smarter, more resilient systems. We provide people with better mobility. We steward precious resources by finding more sustainable…
Added 1 month ago
S
Mechanical Technician-FT- Goose Bay
Serco
Happy Valley-Goose Bay, NL
- Full-time
Train apprentices to Power Engineer standard and endorse appropriate documentation.
Added 1 month ago
AW
Software Development Manager, Elastic Container Service (ECS)
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
…securing, and managing servers. The ECS Dataplane group owns systems, services and process to manage infrastructure on which ECS executes customer workloads including infrastructure setup,…
Added 1 month ago
MT
Physical Design Engineer
Mirafra Technologies
ON · Ontario, Canada
- Full-time
We are seeking a Physical Design Engineer with a strong foundation in Static Timing Analysis (STA) and a focus on design flow automation. In this role, you will be responsible for driving…
Added 1 month ago
AE
Technician Programmer
Associated Engineering
Saskatoon, SK
- Full-time
…facilities. You will be active in the delivery of servicing to power and automation systems with instrumentation to monitor medium voltage electrical service, process, metering, primary and…
Added 1 month ago
W
Senior Project Manager/Engineer Site Development, Land Development
WSP
AB · Edmonton, AB
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 month ago
Lead Structural Engineer, Water/Wastewater
WSP
Vancouver, BC
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions.
Added 1 month ago
R
Ingénieur en Amélioration Continue / Continuous Improvement Engineer
Rolls-Royce
Montreal, QC
- Full-time
Maîtrise des outils d’analyse de données (Python, R, SQL, Power BI, Tableau ou similaires).
Added 1 month ago
Software Engineer, Tokenization
Robinhood
Toronto, ON
As a Software Engineer, you'll build and own backend services that make tokenized equities work end to end - issuance, custody, and settlement on-chain, kept in sync with traditional…
Added 1 month ago
Senior Software Engineer, Tokenization
Robinhood
Toronto, ON
As a Senior Software Engineer, you will design and build the core systems that issue, custody, and settle tokenized equities on-chain and keep them in sync with traditional brokerage and…
Added 3 months ago
PL
Electrical Technician - High Voltage Lab
Powertech Labs
Surrey, BC
- $64,132 to $69,153 CAD / year
- Full-time
…for delivering transformative solutions in both the electric power industry as well as the transport sector. A clean future will be driven by electric and hydrogen power, and we will help…
Added 1 month ago
AL
Senior Facilities Engineer (Electrical) - Point of Care - (Ottawa)
Abbott Laboratories
Ottawa, ON
- $87,000 to $127,600 CAD / year
- Full-time
Ensure the reliable operation, performance, and compliance of electrical systems, HVAC, water, compressed air, emergency power, and other critical manufacturing utilities.
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
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…
Added 1 month 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 3 months ago
Senior Software Development Engineer, AWS Transactional Services
Amazon
Toronto, Ontario
Join us in building the next generation of distributed systems and database technologies to power AWS!
Added 4 months ago
J
Principal Software Engineer - Canada
JobGet
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
We are looking for an exceptional and ambitious engineer who enjoys architecting systems, working in an agile start-up development environment, and leveraging AI to redefine engineering…
Added 2 months ago
Q
DFT Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 3 months ago
GV
Ingénieur conception électromagnétique aux offres techniques / Technical Tendering electromagnetic engineer
GE Vernova
Brossard, Quebec
- Full-time
The electrical engineer will be responsible for the electrical design of hydro generator for North American projects. The engineer will be responsible of the electrical aspect of the…
Added 3 months ago
Embedded Software & Field Tools Developer
Octasic
Montreal, Quebec
We are looking for a C++ software engineer with a systems mindset to own the design, development, and maintenance of in-house tools used for RF mode testing, real-time system monitoring,…
Added 3 months ago
S&
Structural Engineer 2 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…engineering and design team, you will work on a wide range of power transmission modifications and upgrades to support client recommendations and reviews including creating calculations,…
Added 3 months ago
O
Senior Software Engineer, Mobile Platform - Guest App (Remote, Canada)
Owner.com
Remote, Canada
- Full-time
- Remote
We’re looking for a senior engineer who gets excited about operating at real scale - not just shipping a single mobile app, but owning the platform and distribution system behind thousands…

OpenTable

Staff Machine Learning Engineer

Toronto, ON, Canada

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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.

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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

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