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GoMaterials
Candidates need a degree or equivalent practical experience, strong Python and SQL skills, and experience operating production services and data pipelines in Azure or another major cloud. Experience with infrastructure-as-code, CI/CD and taking over live codebases is also required.
Azure, Terraform, Bicep, Git, Kubernetes, Airflow
OpenLoop Health: OpenLoop is the nation’s top white-label digital health infrastructure provider, powering virtual care delivery for healthcare organizations,…
5+ YOECandidates need 5 to 15+ years of software engineering experience, including significant direct delivery for external customers. They need strong integration engineering skills, experience building with and verifying AI agents, a security-first approach to sensitive data, and clear communication with technical and non-technical audiences.
Sales, Direct inward dialing, Communication skills, API development, Regulatory compliance, Documentation
OpenLoop Health: OpenLoop is the nation’s top white-label digital health infrastructure provider, powering virtual care delivery for healthcare organizations,…
8+ YOECandidates need 8+ years in identity, security engineering or platform architecture, with 3+ years at staff, principal or architect level. Deep hands-on Auth0 CIAM experience, strong knowledge of SAML, OIDC, OAuth 2.0, SCIM and FIDO2, and enterprise Okta or equivalent workforce IdP experience are required.
Auth0, Okta, SailPoint, Britive, Terraform, Entra ID
Tubi - Canada: As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest…
4+ YOECandidates need 4+ years of QA automation experience, ideally in streaming or OTT, with knowledge of video streaming protocols, DRM and CDNs. They also need hands-on test automation skills, scripting in Python, TypeScript or JavaScript, and experience validating AI/ML systems in production.
Selenium, Appium, Playwright, Puppeteer, Charles Proxy, Chrome DevTools
Fleetio
5+ YOECandidates need 5+ years of applied data science or machine learning experience and strong Python, SQL, and dbt skills. They also need solid statistics, experience shipping models to production, and the ability to explain tradeoffs to non-specialists.
Python, SQL, dbt, Snowflake, ThoughtSpot, Cube
Cresta
5+ YOECandidates need 5 to 8 or more years of building production machine learning systems, with significant LLM experience. Strong skills in NLP, transformers, RAG and agentic workflows are required, plus technical leadership.
PyTorch, TensorFlow, Hugging Face
Bree
Candidates need several years of program or product management experience supporting software engineering teams. They need enough technical knowledge to understand APIs, data models, cloud systems and release processes, and they should use AI tools to speed up their work.
Linear, Notion, GitHub, Datadog, Slack, SQL
Bree
Candidates need to be enrolled in a Computer Science, Statistics, Engineering, Data Science or related post-secondary program and available for the full term. Strong Python, some data experience, and foundational statistics and machine learning knowledge are needed.
Python, SQL, pandas, PyTorch, LightGBM
Mecka
Candidates need hands-on experience taking a complex wearable or sensor-based hardware product into production. They should know tactile or force sensors, electronics, mechanical design, and working with suppliers on manufacturing.
Tactile sensors, Flexible circuits, Test fixtures
Safe Software
8+ YOECandidates need 8+ years in software engineering and AI/ML, including 3+ years running AI systems in production. Strong Python skills and experience with LLMs, retrieval systems, RAG and agent architectures are required.
Python, LangGraph, Semantic Kernel, AutoGen, CrewAI, Databricks
FutureFit AI
Candidates need staff-level, hands-on MLOps or ML platform experience, including CI/CD for models and monitoring. Production experience with LLM systems, batch and real-time serving, and running A/B tests or canary deploys is required, along with production on-call experience.
AWS SageMaker, PyTorch, Airflow, dbt, Braintrust, GitHub Actions
Sardine
4+ YOECandidates need 4+ years in applied machine learning, including at least one foundation model they pretrained or substantially adapted and ran in production. They need self-supervised pretraining and fine-tuning experience, production model-serving skills, strong Python and SQL, and the ability to drive ambiguous research projects.
Python, SQL
Sardine
Candidates need hands-on experience building model serving infrastructure and owning ML systems in production. Strong Python, solid software engineering skills, and experience with Kubernetes, containers and a major cloud are required.
Kubernetes, Docker, Go, Python
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Candidates need deep data engineering experience with batch and real-time pipelines, warehouses and dimensional modeling, plus AWS, infrastructure-as-code and technical leadership skills. Experience mentoring teams and working across domains is also needed.
Snowflake, AWS, Terraform, CloudFormation
12 companies