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Added 36 mins ago
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Assistant Contract Administrator
HDR
Toronto, ON
- Full-time
Certified by OACETT as a Road Construction Senior Inspector (rcsi), or Road Construction Contract Administrator (rcca) designation, and/or registered with PEO as a P.Eng. with relevant…
Added 1 hour ago
WI
Senior Mechanical Engineer (Plant Design)
WSP in Canada
Sudbury, ON · Greater Sudbury, ON
- Full-time
As a Senior Mechanical Engineer within our Mine Process & Mine Infrastructure group, you will shape the systems and infrastructure that power Canada’s most complex industrial and mining…
Added 3 hours ago
UA
Software Engineer Intern - QuantumBlack, AI by McKinsey at McKinsey & Company
UCI-OC Alliance
Engineer, BC
- Volunteer
Software Engineer Intern - QuantumBlack, AI by McKinsey
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FH
Senior Data Engineer
Fraser Health
Surrey, BC
- Full-time
…(CAADSI) department of Fraser Health, we are looking for a Senior Data Engineer to join our agile and fast paced team. Reporting to the Director, Data Engineering, this position is part of…
Added 4 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
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Added 4 hours ago
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Building Enclosure Engineer
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Ottawa, ON · Kanata, ON
- Full-time
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Added 4 hours ago
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Senior Mechanical Engineer 1 - Nuclear
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Toronto, ON · North York, ON
- Full-time
…comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in…
Added 4 hours ago
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Senior Software Engineer, Machine Learning
hive.co
Remote, Canada
- 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 5 hours ago
S
Electrical Engineer Hamilton
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Hamilton, ON
- Full-time
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Added 6 hours ago
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Senior Power Applications Engineer
Hitachi
London, ON · (HE)Office_ON, Stoney Creek
- Full-time
Ready to help shape the future of energy? Join Hitachi Energy as a Senior Power Applications Engineer and play a key role in delivering advanced software solutions that support reliable,…
Added 7 hours ago
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Principal Engineer, Risk and TFM Technologies
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Toronto, ON
- Full-time
As Principal Engineer, Risk & Total Fund Management Technology, you will define architectural direction and elevate engineering excellence across critical investment technology platforms…
Added 7 hours ago
WI
Technical Manager, Construction Interface
WSP in Canada
Ottawa, ON
- Full-time
You will serve as WSP’s senior technical counterpart to PSPC construction managers, CM partners, design‑assist trades, and senior client representatives. In this role, you will strengthen…
Added 7 hours ago
CI
Sr. Professional Engineer
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Ottawa, ON
- Full-time
Calian is looking for a Senior Professional Engineer for their client. Their client is responsible for the procurement and sustainment of a wide array of equipment fleets for the…
Added 9 hours ago
WI
Senior Principal Engineer / Technical Director - Tailings & Mine Waste
WSP in Canada
Victoria, BC
- Full-time
As a Senior Principal Engineer / Technical Director - Tailings & Mine Waste, you will serve as a recognized technical authority and strategic advisor, leading some of the most complex and…
Added 9 hours ago
WI
Senior Principal Engineer / Technical Director - Tailings & Mine Waste
WSP in Canada
Victoria, BC
- Full-time
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Added 9 hours ago
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Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
Kelowna, BC
- Full-time
Step into a senior technical leadership role that will shape the future of mine waste management across British Columbia, Alberta, and beyond. As the Regional Lead for Mine Waste Dumps &…
Added 9 hours ago
WI
Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
Kelowna, BC
- Full-time
Step into a senior technical leadership role that will shape the future of mine waste management across British Columbia, Alberta, and beyond. As the Regional Lead for Mine Waste Dumps &…
Added 11 hours ago
A
Student Engineering Co-op/Intern
AtkinsRéalis
Mississauga, ON · Pickering, ON
- Full-time
…contributing role to assist Technical Directors, Technical Managers or Senior Technical Leads in the execution of new-nuclear project deliverables. The successful candidate will join a…
Added 11 hours ago
A
Senior I&C Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
A Senior Instrumentation and Controls (I&C) engineer is required to work on the design and development of I&C systems on projects involving new designs and/or enhancements (via Services…
Added 11 hours ago
D
Senior Privacy Engineer
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Remote, Canada
- $178,500 USD / year
- Full-time
- Remote
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Added 12 hours ago
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Senior Software Engineer (Full Stack)
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Toronto, ON
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Observability tooling, performance profiling, and cost-aware cloud architecture.
Added 14 hours ago
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EWIS Integrator (Senior Level)
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Montreal, QC
- Full-time
Position Overview: We are seeking a Senior EWIS Integration Engineer to provide high-level technical leadership for complex aircraft development programs and sustaining initiatives. In this…
Added 14 hours ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
This role exists because the team is senior and self-directed enough not to need a full-time coordinator, and because we would rather its manager stay close to the work than drift away from…
Added 15 hours ago
S
Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
We're hiring a senior Applied AI engineer to own the technical direction of our AI systems: retrieval, generation, verification, evaluation, and keeping systems running in production.…
Added 16 hours ago
A
Senior I&C Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
A Senior Instrumentation and Controls (I&C) engineer is required to work on the design and development of I&C systems on projects involving new designs and/or enhancements (via Services…

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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