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Added 3 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
Forum Asset Management – Software Engineer - Data
Added 3 months ago
S
OptoMechanical Engineer
SBQuantum
Sherbrooke, Quebec
- Full-time
By combining diamond-based quantum sensors with advanced AI-driven software, we transform complex magnetic field data into actionable, high-value insights. Our solutions enable accurate…
Added 3 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer - Montreal
Mistral
Montreal, Quebec
- Full-time
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
Added 1 month ago
QP
Senior Cloud Systems Engineer
QuadReal Property Group
Toronto, ON
- Full-time
Competency with scripting across PowerShell (primarily), bash, and Python.
Added 1 month ago
A
Silicon Design Verification Engineer
AMD
Markham, ON
- $105,600 to $158,400 USD / year
- Full-time
This is an exciting opportunity to work in the AMD SOC Verification Team as Silicon Design Verification Engineer where you will work with a team and experts in verification.
Added 1 month ago
QP
Senior Cloud Systems Engineer
QuadReal Property Group
Vancouver, BC
- Full-time
Competency with scripting across PowerShell (primarily), bash, and Python.
Added 1 month ago
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Pricing Analyst
Nexans
Markham, ON
- Full-time
Experience in collaborating with cross functional teams (eg: sales,engineer,finance,..)
Added 1 month ago
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Senior Low-Level Control Engineer
Humanoid
Burnaby, BC
- Full-time
…and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team…
Added 1 month ago
RF
Senior Platform Engineer
Rodeo FX
Montreal, QC
- Full-time
Strong Python skills, with solid software engineering practices (version control, testing, code review, packaging).
Added 1 month ago
AM
Silicon Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
This is an exciting opportunity to work in the AMD SOC Verification Team as Silicon Design Verification Engineer where you will work with a team and experts in verification.
Added 6 months ago
MF
Network Engineer
McCain Foods
Florenceville-Bristol, New Brunswick
- Full-time
Reporting to the Manager of Network Services, the Network Engineer is responsible for supporting, operating, and evolving enterprise network infrastructure across on-prem and cloud…
Added 6 months ago
P
Senior Software Engineer
PointClickCare
Mississauga, Ontario
- $142,000 to $158,000 CAD / year
- Full-time
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held,…
Added 2 months ago
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AI Solutions Engineer
WellnessLiving
Thornhill, ON
- Full-time
Customer First – We approach every challenge with a deep commitment to our customers’ success and happiness.
Added 3 months ago
AT
Staff Embedded Firmware Engineer (Contractor)
Arlo Technologies
Richmond, British Columbia · CA - British Columbia - Richmond
- Full-time
Arlo is seeking a highly experienced Staff Embedded Firmware Engineer to lead the development of next-generation IoT and video streaming products. In this technical leadership role, you…
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 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
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Prompt Engineer
Genpact
Montreal, QC
- $70,000 to $75,000 CAD / year
- Full-time
…solutions including 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…
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 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 4 months ago
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{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on…
Added 4 months ago
P
(Canada) - Junior Site Reliability Engineer
PointClickCare
Mississauga, Ontario
- Full-time
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held,…
Added 3 months ago
C
AI Engineer
Cprime
Toronto, Ontario
- Contract
Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn,…
Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Reporting to the Director, AI & Digital Planning, the Senior AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions…
Added 1 month ago
Junior Software Engineer-Global Payments Engineering
Scotiabank
Toronto, ON
Familiarity with at least one programming language such as Java, JavaScript, Python

OpenTable

Staff Machine Learning Engineer

Toronto, ON, Canada

Apply About employer

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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.

Apply 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

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