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Added 19 mins ago
PSR Catalog & TM Forum Enterprise Architect
Prodapt
Canada
Map PO/PS commercial and technical characteristics exposed to CPQ for guided selling, pricing, and real-time service qualification at Day 0 (Buy) (TMF645, TMF648, TMF651).
Added 19 mins ago
S
Photographe - Sur appel // Photographer - On-call
SSENSE
Montreal, QC
- Full-time
A minimum of 1 year of experience in commercial photography.
Added 33 mins ago
KM
(sr) Branch Service Manager/Gestionnaire de succursale, Service (Maritimes)
Konica Minolta Business Solutions (Canada) Ltd.
Dartmouth, NS
- Full-time
Added 33 mins ago
G
Account Manager, Entertainment
Gallagher
Toronto, ON
- Full-time
5+ years of Commercial Insurance brokering experience required.
Added 33 mins ago
K
Senior Manager, Transaction Services
KPMG
Vancouver, BC
- Full-time
…private companies. We combine rigorous financial analysis with commercial judgment to identify the issues that matter to our clients, helping them understand the risks and opportunities of…
Added 48 mins ago
L&
Sales and Rental Associate / Account Services Representative
Long & McQuade Musical Instruments
London, ON
- Full-time
Credit approvals for consumer and commercial account rentals
Added 1 hour ago
SW
Portfolio Manager | Associate Portfolio Manager | Wealth Manager - SJF - Markham
Scotia Wealth Management
Markham, ON
- Full-time
Business development and client relationship experience in an adjacent occupation (i.e., commercial banking, retail wealth management, mutual funds and insurance sales, accounting and tax…
Added 1 hour ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
…With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling real-time, continuous space communications while supporting advanced…
Added 1 hour ago
L&
Sales and Rental Associate / Account Services Representative
Long & McQuade Musical Instruments
Ottawa, ON
- Full-time
Credit approvals for consumer and commercial account rentals
Added 1 hour ago
MS
Scaffold Engineer in Training (EIT)
Matakana Scaffolding Inc
Burnaby, BC
- Full-time
…temporary works and scaffolding systems for a wide variety of commercial, industrial, and infrastructure projects across British Columbia. This role offers an excellent opportunity to build…
Added 1 hour ago
S
Investment & Personal Banking Specialist - Laval Est/440, Laval, Qc
Scotiabank
Laval, QC
- Full-time
…range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital…
Added 1 hour ago
HH
Installer / Field Technician (Nationwide, Contract)
Hyperbaric Health
Field, BC
- Contract
We contract with local technicians and installers to deliver, unpack, assemble, site-test, and install hyperbaric chambers in commercial wellness facilities and private wellness spaces.
Added 1 hour ago
AI
Commercial Insurance Marketer
Allen Insurance Group
Waterloo, ON
- Full-time
…for customers and the company. The team member will prepare commercial policies documentation and estimates for presentation to existing and prospective clients. In addition the commercial…
Added 1 hour ago
EF
construction trades helper
Elite Formwork
Calgary, AB
- Full-time
Added 1 hour ago
FT
Territory Manager - North Alberta
Fast Tire Co
AB · Edmonton, AB
- Full-time
Develops, in collaboration with their supervisor, commercial sales strategies for sales projects and positioning of the company.
Added 1 hour ago
TO
Cook (Casual)
THE ONEILL CENTRE
Niagara-on-the-Lake, ON
- Part-time
Must understand proper preparation techniques and know how to use commercial kitchen equipment.
Added 1 hour ago
H
Senior Software Engineer, Machine Learning
hive.co
Remote, Canada
- Full-time
- Remote
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…
Added 1 hour ago
GS
ICU RN | Respiratory Therapist | ACP
Goodwill Staffing & Recruitment
ON · Ontario, Canada
- Full-time
Company arranged and paid travel, including airport transportation and commercial flights.
Added 1 hour ago
LC
Bakery Commercial Clerk Part Time Afternoon
Loblaw Companies Limited
Grand Manan, NB
- Part-time
Added 1 hour ago
T
Strategic Industry Advisor - Lumber & Forest Products
Timberflows
Cambridge, ON
- Full-time
We are currently developing the platform and are looking to strengthen our industry knowledge and commercial strategy by bringing an experienced lumber-industry leader into an advisory role.
Added 1 hour ago
IP
B2B Professional Pest Control Sales Representative
Insectica Pest Control Inc.
Toronto, ON
- Full-time
We’re seeking an experienced B2B Professional Sales Representative to grow our commercial pest-control portfolio across the GTA. You’ll prospect, inspect, and close new accounts with…
Added 1 hour ago
BR
Mixer Driver
BURNCO Rock Products Ltd
Saskatoon, SK
- Full-time
Safe Driver’s record with a clean commercial Drivers Abstract (minimum 5 years).
Added 1 hour ago
S
Electrical Engineer Hamilton
SearchLabs
Hamilton, ON
- Full-time
You will support the delivery of electrical systems for building projects across commercial, institutional, residential, industrial, public-sector, and mixed-use environments. Depending on…
Added 2 hours ago
NF
Associate Underwriter, Transportation & Logistic
Northbridge Financial
Montreal, QC
- Full-time
- Other
We’re Northbridge Insurance. We’re proud to work with Canada’s most trusted commercial broker networks. We have a reputation for being one of Canada’s leading commercial insurance…
Added 2 hours ago
FC
Banking Specialist, Not-For-Profit & Emerging Brands
FirstOntario Credit Union
Hamilton, ON
- Full-time
Three to five (3–5) years of experience in financial services, with a preference for commercial, business, or private banking

hive.co

Senior Software Engineer, Machine Learning

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 2, 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!

A note on recruitment scams: We're aware of scammers pretending to be Hive recruiters, sometimes using fake job postings, look-alike email addresses or messaging apps. Real Hive recruiters will only contact you from an @hive.co or @ashbyhq.com email address, and every open role is listed at hive.co/careers. Hive will never ask you to pay a fee, buy equipment, or share banking or government ID details during the interview process, and we don't interview by text or chat app alone. If you're unsure whether a message is really from us, email recruitment@hive.co before you reply.

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 and ML infrastructure to support high-throughput event data and model production. You will drive the full data pipeline while ensuring business impact through reliable, performant, and scalable data products.

Requirements

Candidates must have 8+ years of hands-on data engineering experience with large-scale distributed systems and ML production pipelines. Strong proficiency in Python, ML foundations, and MLOps practices is required, along with a product-oriented mindset.

Skills

Python
Django
Machine Learning
Data Engineering
Distributed Systems
Clickhouse
MySQL
MongoDB
ElasticSearch
Redshift
Airflow
Dagster
MLOps
LLMs
Feature Engineering
Agentic Systems

Benefits

Meaningful salary and equity
Fully remote work
Flexible work hours
Health coverage
Dental coverage
Parental leave top-ups
Unlimited vacation/PTO

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
Distributed Systems
MLOps
LLMs
Agentic Systems
Feature Engineering
SaaS
Data Engineering
Big Data
Cloud-native
Observability
Data Pipelines
Event-driven
Scalability
Performance Tuning
Data Health
SLA
Model Serving
Experiment Tracking
Infrastructure

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