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Added 1 month ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 1 month ago
SS
Financial Engineer, truView, Vice President
State Street
Toronto, ON
- Full-time
Comfort with VBA and SQL, familiarity with C++/C#, Python, R
Added 1 month ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Added 1 month ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
- Full-time
Position Title: AI Engineer (Agentic Workflows)
Added 1 month ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Working proficiency in at least one programming language (Python, Go, C#, or similar) plus PowerShell or Azure CLI for automation.
Added 2 months ago
T
Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
- $200,000 to $295,000 CAD / year
- Full-time
We're looking for an engineer who thrives on building scalable platforms and enjoys tackling hard data and backend challenges. This isn't a data engineering role: you'll design and optimize…
Added 2 months ago
PE
Senior Embedded Linux Developer (Audio Platforms)
Paradigm Electronics Inc.
Ottawa, ON
- $110,000 to $145,000 CAD / year
- Full-time
We are looking for a Senior Embedded Linux Developer to engineer, maintain, and optimize the core Linux foundation for our next-generation streaming audio products. You will assume…
Added 2 months ago
H
Senior Software Engineer, Machine Learning
Hive
Remote, Canada
- $123,600 to $187,900 USD / year
- Full-time
- Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 2 months ago
B
Software Engineer - Continuous Delivery
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Strong-level proficiency in Go and/or Python.
Added 2 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 2 months ago
B
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week…
Added 2 months ago
C
Senior Software Engineer
Clutch
Toronto, ON
- $160,000 to $200,000 USD / year
- Full-time
Have experience with one or more modern programming languages such as TypeScript, Python, Go, Java, C#, Rust, or Ruby.
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- $160,000 to $190,000 USD / year
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI…
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across…
Added 2 months ago
C
Staff CAD/EDA Tools Engineer
Cognichip
Toronto, ON
- $143,000 to $175,000 CAD / year
- Full-time
We are seeking a Staff CAD/EDA Tools Engineer to own the application layer of our EDA tool ecosystem: the wrapper scripts, CLI tooling, and container images that let engineers and AI…
Added 2 months ago
J
Senior Power System Studies Engineer
Jacobs
Calgary, AB
- $133,800 to $175,650 USD / year
- Full-time
As a power system studies engineer, you will closely work with regional and global power systems teams to support and/or lead ongoing projects as well as business development and proposal…
Added 2 months ago
J
Senior Power System Studies Engineer
Jacobs
Toronto, ON
- $133,800 to $175,650 USD / year
- Full-time
As a power system studies engineer, you will closely work with regional and global power systems teams to support and/or lead ongoing projects as well as business development and proposal…
Added 2 months ago
SA
Research Engineer - World Models
Skyfall AI
Toronto, ON
- Full-time
We're looking for a Research Engineer (ML) to join our cutting-edge AI research team. This role is ideal for engineers who thrive at the intersection of AI research and scalable software…
Added 2 months ago
E
Project Engineer -Water & Wastewater
EXP
Brampton, ON
- Full-time
Be our next Project Engineer - Water & Wastewater!
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 1 month ago
M
Automation Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
We’re on the hunt for a Automation Engineer on our Satellite systems team at our Montreal office.
Added 2 months ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data…
Added 1 month ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support…
Added 1 month ago
H
Senior Firmware and Embedded Software Engineer
Humanoid
Burnaby, BC
- Full-time
We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots.

Hive

Senior Software Engineer, Machine Learning

Remote, Canada

Remote

$123,600 to $187,900 USD / year · Full-time

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Job details

Pay: $123,600 to $187,900 USD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Aug 11, 2026

Original job description

At Hive, we’re all about creating moments that matter and helping event marketers connect with their biggest fans. Our platform powers marketing for 1,500+ iconic events, festivals, venues, and promoters across North America. We help them grow their customer base and sell out shows using intelligent, automated, and personalized digital marketing tools.

Hive integrates with 25+ platforms (like Ticketmaster and Shopify) to provide rich customer data in real-time, enabling event marketers to engage their audiences with precision and impact.

What Data team at Hive looks like

Hive’s R&D Data team is responsible for how we store and query production data at scale. We aren’t focused on only BI or dashboards - we build the systems that power Hive’s products and make data accessible, reliable, and performant.

As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently leadership can make bets. You'll own outcomes, not tickets. If a business metric is off and it touches data, that's yours to care about.

What you’ll get up to

Build our Data Platform: Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions a year. You're not just building pipelines - you're building the infrastructure that determines the quality of every insight, recommendation, and decision Hive's customers make.
Build our ML Platform: Design and own the infrastructure that takes models from experiment to production - feature stores, training pipelines, model serving, and monitoring. You switch hats between data engineering and ML engineering, ensuring reliable, low-latency access to the features and infrastructure we need to build and ship models confidently. When a model degrades in production, you're the one who built the observability to catch it before the customer does.
Own the Full Pipeline - and Its Business Impact: From Change Data Capture through validation, transformation, and denormalization - you drive the stack end to end. But you also understand what breaks for a customer when a pipeline is late, a metric drifts, or a model gets stale data. You connect the technical dots to the business dots.
Treat Data as a Product: You don't ship pipelines - you ship data products that internal teams and customers depend on like a production API. You define SLAs, obsess over data health, build for discoverability.
Build and Leverage Agentic Systems: You bring an agentic engineering mindset to everything - both how you work and what you build. You use AI coding agents (e.g. Claude Code) as a force multiplier. And you build LLM-powered pipelines and autonomous agents that enrich, classify, and act on audience data at scale.

Our Tech Stack

Programming: Python and Django
Data Stores: Clickhouse, MySQL, MongoDB, ElasticSearch, Redshift
Orchestration: Airflow or Dagster

What you bring

8+ years of hands-on data engineering experience, with a proven track record of designing, building, and operating large-scale distributed data and ML systems in production - high-throughput event streams, real SLAs, and real consequences when things fail.
Core ML foundations (supervised/unsupervised, cross-validation, bias-variance, regularization, eval metrics) and common algorithms (regression, tree ensembles, clustering).
Feature engineering with Python ML tooling (pandas, scikit-learn; familiarity with PyTorch or TensorFlow).
Production ML pipelines and feature datasets feeding model training and inference.
MLOps practices: experiment tracking, model versioning/registry, deployment, and monitoring for drift/data quality.
Strong foundations in distributed systems principles - partitioning strategies, consistency models, backpressure handling, fault tolerance, and capacity planning at 10x the volume you designed for.
Experience applying LLMs and agentic systems in production data or ML contexts - whether enriching pipelines, automating classification, or building autonomous workflow components
A product and commercial orientation - you consistently frame technical decisions in terms of customer impact and business outcomes, and you have the stakeholder communication skills to make that case to non-technical audiences.

Who you are

Comfortable operating independently and making progress in ambiguous, fast-changing environments
Biased toward action. You’re willing to make decisions with imperfect information and iterate quickly, communicating with other teams inside product and engineering
Skilled at troubleshooting complex ML systems and building durable solutions when things break
Excited to shape the future of Hive’s data/ML infrastructure and team in a high-growth, fast-paced company

Nice to haves:

History of owning or re-architecting a data platform end-to-end in a fast-growing environment.
Background in SaaS or event-driven products where data systems directly power user-facing features.

Compensation/Benefits Package

Meaningful salary and equity: you're rewarded based on impact.
Work fully remote from the comfort of your home.
Flexible work hours: minimal meetings and no 9-5
Health & Dental coverage with Parental Leave top-ups in addition to EI benefits
Unlimited vacation/PTO: so you can be happy and healthy!

About Hive.co

Hive.co is a marketing platform for event marketers. We help brands personalize and automate their campaigns, using email and SMS, to empower them to sell out so they can focus on making their events unforgettable.

By integrating with ticketing partners like Ticketmaster and e-commerce partners like Shopify, we enable brands to access and act on all their customer data, so they can easily segment their list in thousands of ways, and send more customized, timely email campaigns that land in inboxes.

We started our company inside a University of Waterloo computer lab in early 2014, graduated from Y Combinator that summer (S14 batch) and have been growing ever since. Originally based in Kitchener, our team is now 100% remote and located all across Canada! We strive to provide an online work environment that allows team members to have a strong work life balance while still feeling connected to their team and Hive’s mission.

To learn more about our team check out our About Us page on our website: https://www.hive.co/about

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More about this job

Responsibilities

You will design and own a cloud-native big data platform while building the infrastructure to take machine learning models from experiment to production. You will drive the full data pipeline end-to-end, ensuring data health and reliability while leveraging agentic systems to enrich and classify audience data.

Requirements

Candidates must have 8+ years of hands-on data engineering experience with large-scale distributed systems and production ML pipelines. Strong foundations in distributed systems, MLOps practices, and experience with LLMs or agentic systems are required.

Skills

Python
Django
Machine learning
Data engineering
Distributed systems
MLOps
Clickhouse
MySQL
MongoDB
ElasticSearch
Redshift
Airflow
Dagster
LLMs
Agentic systems
Feature engineering

Benefits

Meaningful salary
Equity
Health coverage
Dental coverage
Parental leave top-ups
Unlimited vacation
Flexible work hours

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Data platform
Machine learning
Python
Django
Clickhouse
MySQL
MongoDB
ElasticSearch
Redshift
Airflow
Dagster
MLOps
Distributed systems
LLMs
Agentic systems
Feature engineering
SaaS
Data pipelines
Big data
Observability
Data products
Cloud-native
Event-driven
Scikit-learn
PyTorch
TensorFlow
Pandas
Change data capture
Data modeling
Capacity planning

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