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Added 1 month ago
R
Senior PLM Solution Architect (3DEXPERIENCE/DELMIA)
RTX
Longueuil, QC
- Full-time
Tirer parti de la méthodologie DevOps pour réduire les délais de mise en production des solutions PLM
Added 1 month ago
T
Sr. Lead Engineer, TD Securities
TD
Toronto, ON
- Full-time
…bottleneck, providing tangible solutions quickly to resolve production issues as well as demonstrating strong technical leadership to ensure the quality of deliverables in a timely…
Added 1 month ago
TI
Senior Java Developer
Tecsys Inc.
Remote, Canada
- Remote
We are seeking an experienced and motivated Senior Java Developer to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining…
Added 6 months ago
P
Senior Software Engineer
PointClickCare
Mississauga, Ontario
- $142,000 to $158,000 CAD / year
- Full-time
Experience writing clean code that performs well at scale using Java
Added 1 month ago
I
Technology Lead - DevOps
Infosys
Mississauga, ON
- Full-time
…for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. This is an opportunity to be part of a learning culture,…
Added 1 month ago
Senior Software Engineer, Tokenization
Robinhood
Toronto, ON
…experience is intentional, energizing, and designed to fully support high-performing…
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
…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…
Added 4 months ago
P
(Canada) - Junior Site Reliability Engineer
PointClickCare
Mississauga, Ontario
- Full-time
The purpose of this role is to help monitor, improve, and engineer production systems so they are reliable and meet client expectations. The Site Reliability Engineer works to ensure…
Added 1 month ago
Junior Software Engineer-Global Payments Engineering
Scotiabank
Toronto, ON
…which aim to offer enriched information and transparencies to support the rapidly evolving payments…
Added 1 month ago
Software Engineer, Payments Integration & Modernization
Scotiabank
Toronto, ON
…which aim to offer enriched information and transparencies to support the rapidly evolving payments…
Added 3 months ago
DS
Backend Engineer
Devoted Studios
Remote, Canada
- Remote
Design and build scalable, resilient web services in Java and/or Scala that support game client needs across PC, console, and mobile
Added 1 month ago
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Senior Backend Developer
EDealer
Canada
- Full-time
We are looking for an experienced Senior Backend Developer to build and evolve the services that power EDealer's dealer websites and inventory search. Our platform serves automotive dealers…
Added 1 month ago
A
Senior Lead Software Engineer, Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Proven hands-on experience, Experience with owning production services with significant impact on design, development, deployment, monitoring & evolution
Added 1 month ago
A
Principal Software Engineer, Back End - L7 (Bangkok based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Proven hands-on experience, Experience with owning production services with significant impact on design, development, deployment, monitoring & evolution
Added 1 month ago
A
Principal Software Engineer, Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Proven hands-on experience, Experience with owning production services with significant impact on design, development, deployment, monitoring & evolution
Added 1 month ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
Experience with platform or developer tooling, AI/ML or workflow-based systems, and/or observability, monitoring, and production operations is a plus; role location and hybrid expectations…
Added 1 month ago
Software Development Engineer Intern, ROBOTICS - 2027
Amazon
Toronto, ON
Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
Added 1 month ago
TG
Développeur C++
TMX Group
Toronto, ON
- Full-time
…projet et des étapes de soutien et de maintenance suivant la production d’une application. Les étapes de développement, qui vont de la conception du projet jusqu’à l’architecture,…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
WT
Senior Software Developer, Post-Trade Management
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
As a Senior Software Developer on the Post-Trade Management team, you will design and deliver the software that keeps post-trade processing running smoothly: from clearing and settlement to…
Added 1 month ago
TG
Senior C++ Developer
TMX Group
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
The role of the Senior Application Developer is to provide advanced technical and process oriented skills/knowledge, supported by good communication skills, in the development and support…
Added 1 month ago
A
Full Stack Engineering Manager, Front-End Angular/React & Back-End Java
Accenture
Ottawa, ON
- Full-time
Lead the architecture, design, and end-to-end delivery of scalable enterprise software solutions across front-end, back-end, APIs, integrations, testing, deployment, and production support.
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
Proficiency and production experience with one or more backend languages such as Golang, Python, or Java.

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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