Kaseya
Staff Applied ML Engineer
Remote role where the employee must remain based in a particular country.
Canada only
Employer listed it 5 weeks ago · Added 5 days ago
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
$220k to $280k per year
Location
Canada only
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
Stated by the employer in the job description
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Canada. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Canada, Remote, Canada - Remote"
What Nomaders makes of it
- Residency required in Canada
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Kaseya
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.
Backed by Insight Partners , a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.
Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.
We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.
At Kaseya, we don't just raise the bar. We build it.
Job Title:
Staff Applied Machine Learning Engineer (AI Workflows & Product Intelligence)
Why Kaseya?
Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.
Join the Kaseya growth rocket ship and see how we are #ChangingLives!
Job Summary
We’re hiring a Staff Applied Machine Learning Engineer to build AI-powered workflows and data-driven product capabilities across Kaseya’s product suite. This role focuses on applied ML, data analysis, model development, and production integration of AI features that help classify requests, recommend actions, route work, enrich data, and automate repetitive workflows. You’ll partner with Product, Engineering, Data, and ML teams to deliver production-ready AI capabilities while helping teams adopt repeatable patterns for model evaluation, workflow design, and responsible AI usage.
Roles & Responsibilities
Analyze product and customer data using Python, pandas, SQL, PySpark, or similar tools to identify patterns and modeling opportunities
Build and productionize ML models for classification, recommendations, similarity, ranking, routing, and prediction use cases
Design AI-powered workflows that transform unstructured inputs such as tickets, emails, forms, messages, and logs into structured data
Partner with Engineering teams to integrate ML models and AI workflows into production systems through APIs, services, and automation logic
Define evaluation methods, telemetry, feedback loops, and monitoring practices for AI-powered product features
Build reusable patterns, templates, and best practices for data ingestion, feature creation, model usage, and responsible AI implementation
Provide technical guidance to product teams on AI opportunity sizing, ML design, model trade-offs, and production readiness
Mentor junior data and ML engineers through code reviews, model reviews, pairing, and technical coaching
Required Qualifications
5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role
Requirements
- ·5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role
- ·Experience building ML models for classification, recommendation, similarity, ranking, prediction, or related product use cases
- ·Experience using Python, pandas, SQL, and PyTorch or similar tools for data analysis and model development
- ·Experience using PySpark or similar distributed data processing frameworks
- ·Experience integrating ML models into production systems through APIs, microservices, batch workflows, or automated product workflows
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Kaseya, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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