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Added 3 months ago
CD
Firmware Design Engineer
Cadence Design Systems
Montreal, Quebec
- Full-time
Help to build system level prototype control software to develop/validate adaptation, equalization, and control algorithms for high speed SERDES.
Added 1 month ago
TT
Linux Acquisition Software Development
Teledyne Technologies Incorporated
Ottawa, ON · Montreal, QC · Canada - Ottawa, ON (TDY)
- Full-time
Teledyne Vision Solutions is seeking a highly motivated Linux Software Developer to join the Acquisition Software Group. The successful candidate will contribute to the design, development,…
Added 1 month ago
M
Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
Proficiency in Python and SQL, with solid software engineering fundamentals in testing, version control, packaging, and code review.
Added 6 months ago
TI
Data Engineer (Python/Spark)
Take-Two Interactive Software
Toronto, Ontario
- $120,000 USD / year
- Full-time
The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity,…
Added 6 months ago
L
Specialist - Data Engineering
LTM
Ontario · Ontario, Canada
- $87,896 to $93,824 USD / year
- Full-time
Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikitlearn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain…
Added 6 months ago
L
Senior Specialist - Data Sciences
LTM
Ontario · Ontario, Canada
- $81,325 to $125,000 USD / year
- Full-time
systems from the ground up The Data Engineer will support our software developers data analysts and data
Added 1 month ago
CD
Distributed Systems Engineer
Cadence Design Systems
Vancouver, BC
- Full-time
You'll contribute to the core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, working on:
Added 2 months ago
F
Senior Threat Hunting Specialist
Fortinet
Burnaby, BC
- Full-time
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Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Toronto, ON
- 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
GU
Programmer
Georgetown University
St. Mary's, NL · St Marys, NL
- Full-time
Familiarity with the following programming software: Python and SQL.
Added 6 months ago
L
Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 USD / year
- Full-time
o Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikitlearn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain…
Added 6 months ago
AS
Senior Software Engineer, Computation
Aurora Solar
Remote, Canada
- $126,000 to $187,000 CAD / year
- Full-time
- Remote
Aurora is on a mission to create a future of solar for all. Our award-winning software puts the power of data and technology into the hands of every solar professional to make solar…
Added 6 months ago
S
Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
Sectra
Montreal, Quebec
- Full-time
At Sectra Canada, our objective is to introduce a leading global medical IT solution to the Canadian market, with the aim of establishing ourselves as the top provider of Enterprise imaging…
Added 6 months ago
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Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
Sectra
Mississauga, Ontario
- Full-time
At Sectra Canada, our objective is to introduce a leading global medical IT solution to the Canadian market, with the aim of establishing ourselves as the top provider of Enterprise imaging…
Added 1 month ago
H
Senior Low-Level Control Engineer
Humanoid
Burnaby, BC
- Full-time
The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through…
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
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 1 month ago
Junior Software Engineer-Global Payments Engineering
Scotiabank
Toronto, ON
Working knowledge of an entire application/system; Engineers software solutions that meet the needs of stakeholders while focusing on continually reducing technical debt
Added 1 month ago
Software Engineer, Payments Integration & Modernization
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Toronto, ON
Working knowledge of an entire application/system; Engineers software solutions that meet the needs of stakeholders while focusing on continually reducing technical debt
Added 3 months ago
Senior Manager, Grid Modeling
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Quinte West, Ontario
Stay current on industry trends, emerging power system technologies, and best practices in power systems modeling and open-source software development.
Added 3 months ago
H
Software Analyst (SWAT), Senior
Hitachi
Remote, Canada
- Full-time
- Remote
We are looking for a Senior Software Analyst to join our Integration, Testing and Validation (ITV) team in Toronto!
Added 4 months ago
C
Python Full Stack Developer (contract)
Capgemini
Montreal, QC
- Contract
We are seeking an accomplished Full Stack Developer with expertise in Generative AI (GenAI) technologies to join our team and drive key initiatives forward.
Added 2 months ago
AN
Senior/Lead Software Engineer, Network Systems
Arista Networks
Vancouver, BC
- Full-time
…advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our…
Added 1 month ago
Electrical Engineering Intern Summer 2027
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Toronto, ON
…well as supporting implementation of new electronics design software. The Electrical Engineering team is responsible for the development, test and maintenance of all the flight electronics…
Added 1 month ago
Electrical Engineering Intern Spring 2027
Rocket Lab Corporation
Toronto, ON
…well as supporting implementation of new electronics design software. The Electrical Engineering team is responsible for the development, test and maintenance of all the flight electronics…

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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