Senior Software Engineer, Machine Learning

Hive.co

. Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions annually .

Posted 10/2/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating large-scale distributed data and ML systems, with a strong focus on MLOps practices and feature engineering using Python. Capable of translating technical decisions into business outcomes while ensuring data reliability and performance.

Highest-signal resume keywords

Data Engineering ExperienceMachine Learning Infrastructure DesignMLOps PracticesFeature Engineering with PythonDistributed Systems Foundations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ManagementMachine Learning FoundationsFeature EngineeringPython ProgrammingML Tooling (Pandas, Scikit-Learn)Production ML PipelinesDistributed Systems DesignLLM Application in ProductionTroubleshooting ML SystemsData Platform Architecture

Soft Skills

Stakeholder CommunicationProduct OrientationIndependent Operation in Ambiguous Environments

Tools & Technologies

DjangoClickhouseMySQLMongoDBElasticSearchRedshiftAirflowDagster

Industry Keywords

Cloud-NativeBig Data PlatformData ProductsAI Coding AgentsEvent-Driven Products

Tech Stack

Tools & technologies

AirflowAmazon RedshiftCloudDistributed SystemsDjangoElasticSearchMongoDBMySQLPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions annually
Design and own ML infrastructure including feature stores, training pipelines, model serving, and monitoring
Ensure reliable, low-latency access to features and ML infrastructure
Own the full data pipeline from change data capture through validation, transformation, and denormalization
Connect data-system performance and reliability to customer and business outcomes
Build data products with defined SLAs, strong data health, and discoverability
Use AI coding agents such as Claude Code
Build LLM-powered pipelines and autonomous agents to enrich, classify, and act on audience data at scale
Collaborate with product and engineering teams and communicate technical decisions to stakeholders

Requirements

What you’ll need

8+ years of hands-on data engineering experience
Proven track record designing, building, and operating large-scale distributed data and ML systems in production
Core ML foundations, including supervised/unsupervised learning, cross-validation, bias–variance, regularization, evaluation metrics, regression, tree ensembles, and clustering
Feature engineering with Python ML tooling, including pandas and scikit-learn; familiarity with PyTorch or TensorFlow
Experience with production ML pipelines and feature datasets for model training and inference
MLOps practices: experiment tracking, model versioning/registry, deployment, and monitoring for drift/data quality
Strong distributed systems foundations: partitioning strategies, consistency models, backpressure handling, fault tolerance, and capacity planning
Experience applying LLMs and agentic systems in production data or ML contexts
Product and commercial orientation with ability to frame technical decisions in terms of customer impact and business outcomes
Stakeholder communication skills for non-technical audiences
Programming experience with Python and Django
Experience with Clickhouse, MySQL, MongoDB, ElasticSearch, and Redshift
Experience with Airflow or Dagster
Comfortable operating independently in ambiguous, fast-changing environments
Skilled at troubleshooting complex ML systems
Nice to have: owning or re-architecting a data platform end-to-end
Nice to have: background in SaaS or event-driven products

Benefits

Comp & perks

Meaningful salary and equity
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