Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is versatile and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
Senior ML Engineer Recommender Systems, Developer Advocacy | Canada | Remote
This is a fully remote position and we're considering candidates in Canada.
Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed.
We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation.
This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap.



You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy.
The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time.
You’ll own model training & serving
Define what recommendation quality means
Develop offline, online, and longitudinal measures of recommendation performance.
You’ll own feature pipelines, monitoring of the model and architecture
Ship incremental improvements
Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow.
Integrate improvements into the existing recommender rather than waiting for a complete replacement system.
Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service.
Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis.
Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences.

streaming, Go/TypeScript previous experience in distributed systems
You can work effectively in version-controlled codebases and collaborate with engineers on production implementation.
You should also be a strong product thinker and technical communicator. Bonus Points For:
Experience with content, education, onboarding, or learning recommendation systems




Experience with SaaS product telemetry and customer-account data
Experience using warehouse-scale behavioral data
Experience with open source software or transparent development practices
In Canada, the base compensation range for this role is $164,490 CAD - $197,389 CAD . All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.

- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- Balance is Key - We operate a global annual leave policy of 30 days per annum. We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
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📌 Senior Remote Machine Learning Engineer (Canada)
🏢 Grafana Labs
📍 Canada