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Added 1 hour ago
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Staff Software Engineer
Twilio
Remote, Canada
- Full-time
- Remote
As a Staff Software Engineer (P4), you will be a key technical leader for a platform that processes millions of requests. You will build innovative solutions while working closely with…
Added 2 hours ago
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2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC
Toronto, ON
- Full-time
Added 2 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 2 hours ago
MT
Professional Services Consultant
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
The Professional Services Consultant delivers Microsoft cloud, infrastructure and platform projects for Synapse360 customers. The role is suited to an experienced Windows infrastructure…
Added 2 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 2 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
A(
Senior DevOps Engineer
Arilot (now - Dysnix)
ON · Regional Municipality of York, ON
- Internship
Added 5 hours ago
CI
Principal Engineer, Risk and TFM Technologies
CPP Investments | Investissements RPC
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
M
Stagiaire en opérations critiques Centre de données / Critical Environment Ops INTERN Data Center
Microsoft
Quebec, QC
- Full-time
Added 7 hours ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware…
Added 7 hours ago
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Structural Engineer
SYSTRA
Montreal, QC
- Full-time
…within the Co-Development Phase of the ALTO programme, the Engineer will provide design services, coordination and delivery of their work discipline work package for their respective…
Added 8 hours ago
HB
Platform Engineer - Reliability - Elte FinTech - $125,000-$225,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $125,000 to $225,000 CAD / year
- Full-time
My client are seeking a knowledgeable Platform Engineer to work on their low latency Linux estate.
Added 9 hours ago
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Smart 3D Administration and Support Specialist
AtkinsRéalis
Mississauga, ON
- Full-time
Knowledgeable with the Intel hardware platform and Windows Operating system.
Added 10 hours ago
HT
Senior Software Engineer (Full Stack)
Hudson Talent Solutions
Toronto, ON
- Full-time
…delivery on Noetica, Thomson Reuters’ AI-powered deal intelligence platform. It is responsible for designing, building, and operating accurate, scalable, and well-architected…
Added 11 hours ago
MA
Solutions Engineer
Mosaic AI
Toronto, ON
- Full-time
Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered…
Added 11 hours ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
Added 13 hours ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
…Director of Product and Engineering. This is a role for an engineer who leads, not a manager who used to build. You will lead a team of seven to eight experienced engineers who already own…
Added 13 hours ago
Technical Inside Sales Specialist
Nanometrics Inc
Ottawa, ON
Synthesize frontline feedback to recommend hardware or solution improvements to the Solutions Engineer or Product Management, acting as the voice of the customer.
Added 13 hours ago
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Member of Technical Staff (Fullstack) (Toronto)
Solstice
Toronto, ON
- Full-time
We're building Solstice to automate compliant, reference-backed pharma marketing. As a founding full-stack engineer on our Toronto team, you'll own core parts of the application stack,…
Added 13 hours ago
S
Member of Technical Staff - Fullstack AI Engineer (Toronto)
Solstice
Toronto, ON
- Full-time
We're looking for a Fullstack AI Engineer to build and maintain our agent platform and bring its capabilities into the product. You'll own work across backend services, APIs, agent…
Added 17 hours ago
DC
Senior Water Resources Engineer
Dillon Consulting Limited
Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · Oakville, ON · Toronto, ON · Windsor, ON · North York, ON
- Full-time
Dillon's Water Resources team is seeking a Senior Water Resources Engineer to become an integral part of our multidisciplinary group of professionals. This is your chance to dive into…
Added 18 hours ago
R
Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
…managing dependencies across research teams, engineering teams, platform groups, and business…
Added 18 hours ago
R
Senior AI/ML Engineer
RBC
Toronto, ON
- Full-time
Added 18 hours ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud Security posture. You will also…
Added 18 hours ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
…written primarily in C# and focused on .Net Core and cloud platform. The group is continuously working to improve our Agile, Engineering, and DevOps practices and this role will be expected…

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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