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Added 6 months ago
L
Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 USD / year
- Full-time
6-10 years of relevant experience in Apps Development or systems analysis role
Added 6 months ago
IA
Full Stack Developper
Iconic Art AI
Montreal, Quebec
- $70,000 to $90,000 CAD / year
- Full-time
We are seeking an experienced Full Stack Developer to contribute to the development of our application portfolio. In this role, you will work on both front-end and back-end components of a…
Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, Ontario
- Full-time
Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
Added 1 month ago
Machine Learning Engineer
Stripe
Toronto, ON
5+ years of experience in full time software development roles
Added 3 months ago
MS
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley
Montreal, Quebec
- Full-time
Work across the full software development lifecycle, from problem analysis and solution design through hands-on coding, delivery, and production support
Added 1 month ago
AI Security Specialist
CAA Club Group
Thornhill, ON
Support the development and ongoing maintenance of AI security standards, policies, and acceptable use guidelines.
Added 3 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
…Alignvest Student Housing, making us the largest owner and developer of Purpose-Built Student Accommodations (PBSA) in Canada. Our open-ended Real Estate Income and Impact Fund (REIIF) is…
Added 3 months ago
DI
AI Engineering Lead
Definity Insurance Company
Toronto, Ontario
- Full-time
Define and execute the long-term technical strategy for AI-driven business solutions. Lead the architecture and development of scalable, real-time AI systems that address key challenges and…
Added 3 months ago
GD
Technical Sales Manager
General Dynamics Missions System International
Ottawa, Ontario · Calgary, Alberta
- Full-time
…value deals. This role demands a deep grasp of the technology (software, hardware, or integrated systems), the ability to translate technical features into business benefits, and a…
Added 3 months ago
SI
Data Scientist II
Scribd, Inc.
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design…
Added 1 month ago
Q
Technical Program Manager
Quantiphi
Canada
- Full-time
Lead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution.
Added 1 month ago
C
Group Product Manager, AI Platform
Caseware
Toronto, ON
- $145,000 to $160,000 CAD / year
- Full-time
Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and…
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Montreal, QC
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 1 month ago
SS
Test Engineering Co-op
Skyworks Solutions, Inc.
Ottawa, ON
- Full-time
Skyworks is seeking a motivated and detail-oriented Test Engineering Co-op student to support the development, validation, and deployment of automated test solutions for advanced RF and…
Added 1 month ago
G
Prompt Engineer
Genpact
Montreal, QC
- $70,000 to $75,000 CAD / year
- Full-time
…ML and Gen AI. The candidate should be familiar with python development, predictive analytics and prompt engineering. The candidate should be able to work with different Clients/SME’s and…
Added 1 month ago
D
Principal Solutions Architect, Professional Services (West Coast Preferred)
Docker
Remote, Canada
- Full-time
- Remote
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of…
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
7+ years of professional software engineering experience, with a substantial portion spent building and operating machine learning systems in production.
Added 3 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
M
{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
Added 3 months ago
C
AI Engineer
Cprime
Toronto, Ontario
- Contract
8-10 years of relevant experience in Apps Development or systems analysis role.
Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Manage the end-to-end lifecycle of AI solutions from design and development, to implementation and sustainability, using a product design mindset.
Added 1 month ago
Senior Mobile Product Developer, Growth
HelloFresh
Toronto, ON
As a Senior Mobile Developer, you’ll join a cross-functional team building features that empower both customers and internal stakeholders. You’ll contribute to developing high-quality…
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Added 1 month ago
Staff Data Scientist
Toast
Canada
As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest…
Added 5 months ago
C
Geophysicist
CSMC
Waterloo, ON
- Full-time
CSMC is seeking a Geophysicist to support the development and application of next-generation sensing technologies for subsurface characterization and resource exploration. In this role, you…

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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