Senior Software Engineer, Machine Learning
Job Location:
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Department:
Job Summary
At Hive were all about creating moments that matter and helping event marketers connect with their biggest fans. Our platform powers marketing for 1500 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
Hives R&D Data team is responsible for how we store and query production data at scale. We arent focused on only BI or dashboards we build the systems that power Hives products and make data accessible reliable and performant.
As a Senior Data Engineer youll 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. Youll own outcomes not tickets. If a business metric is off and it touches data thats yours to care about.
What youll 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. Youre not just building pipelines youre building the infrastructure that determines the quality of every insight recommendation and decision Hives 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 youre 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 dont 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 biasvariance 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. Youre 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 Hives 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: youre 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: Were 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 @ or @ email address and every open role is listed at Hive will never ask you to pay a fee buy equipment or share banking or government ID details during the interview process and we dont interview by text or chat app alone. If youre unsure whether a message is really from us email before you reply.
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 Hives mission.
To learn more about our team check out our About Us page on our website: Experience:
Senior IC
About Company
Elevate your event marketing with Hive – the custom-built platform for live events. Automate campaigns, measure success, and sell more tickets effortlessly.
