--- title: 'Staff Applied ML Engineer at Kaseya Careers' canonical: 'https://feeny.ai/job/staff-applied-ml-engineer-kaseya-careers-canada-9rzgts51g549' type: 'job' last_seen: '2026-10-18' --- # Staff Applied ML Engineer at Kaseya Careers - **Company:** Kaseya Careers - **Location:** Canada - **Work type:** remote - **Posted:** 2026-05-15 - **Last confirmed live:** 2026-10-18 - **Apply:** https://www.kaseya.com/careers/jobs/id/5824989004/?gh_jid=5824989004 ## Job description ## 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](https://www.insightpartners.com/), 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 - 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 ## Preferred Qualifications - Experience with LLM-powered workflows, RAG, prompt engineering, fine-tuning, tool use, or agent orchestration - Experience building agent-assist features, automated resolution workflows, or AI-powered operational products - Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar platforms - Experience with production model monitoring, model evaluation, online experiments, or feedback loops - Experience applying matrix factorization, embeddings, clustering, dimensionality reduction, or latent factor modeling - Experience working in a platform or enablement role supporting multiple product teams - Experience mentoring data scientists, ML engineers, analysts, or software engineers on applied ML practices ## Compensation Range The base salary range for this job is CAD $220,000 – $280,000 / year. An individual’s base pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant. At Kaseya, certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. #IND525 Additional information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. ## About Kaseya Careers ## Company Overview - **One-liner**: Kaseya is a global provider of unified IT management and cybersecurity software, serving managed service providers (MSPs) and small to medium-sized businesses (SMBs). - **Entity Type**: Private (privately held) - **Headquarters**: Miami, Florida, USA - **Founded**: 2000 - **Founders**: Not publicly available ## Core Business - **Primary industries**: IT management, cybersecurity - **Target customers**: B2B – managed service providers (MSPs), small to medium-sized businesses (SMBs), and enterprise IT departments - **Mission**: “To empower you to simplify and transform IT and cybersecurity management with innovative platform solutions.” ([kaseya.com](https://www.kaseya.com/company/)) ## Products & Services - **Kaseya 365**: Unified platform combining IT management, security, backup, and automation tools for MSPs and IT teams. - **IT Glue**: IT documentation and knowledge management platform. - **RapidFire Tools**: Network assessment and reporting tools. - **Spanning Cloud Apps**: Backup and recovery for SaaS applications (Office 365, G Suite, Salesforce). - **ID Agent / Graphus**: Dark web monitoring and phishing protection. - **RocketCyber**: Managed detection and response (MDR) platform. - **TruMethods**: Business coaching and operational best practices for MSPs. - **Unitrends**: Backup and disaster recovery solutions. All are delivered as SaaS or on-premise software, with over 40 products total. ## Market Standing - **Valuation**: Not publicly disclosed (private company) - **Key Metrics**: - Over 40,000 customers ([kaseya.com](https://www.kaseya.com/company/)) - Over 500,000 IT professionals use Kaseya products - 300 million devices managed globally - ~5,000 employees (as of 2025, per Built In) - **Notable Investors/Partners**: Not publicly listed in provided sources; company is privately held (backed by private equity). - **Growth Signals**: - Offices in more than 21 countries, with expansion in Bengaluru, Dublin, and other hubs. - Recognized as a “Great Place to Work” ([kaseya.com](https://www.kaseya.com/careers/)). - Continues to add products and acquire complementary technologies. ## Competitive Advantages - **Broad platform**: Over 40 integrated products covering IT management, security, backup, and documentation – a single-vendor solution for MSPs. - **Partner-first approach**: “Partner First Pledge” program shares risk with MSPs, building strong loyalty. - **Scale and reach**: Serving 40,000+ customers across 20+ countries with a large partner ecosystem. - **Innovation track record**: First-to-market with remote monitoring and management (RMM) in 2000, now a leader in unified IT and security. ## Strategic Focus - Accelerate adoption of the Kaseya 365 unified platform. - Expand cybersecurity capabilities (MDR, phishing, dark web monitoring). - Grow international presence, especially in India, Ireland, and Australia. - Hire aggressively across engineering, sales, customer success, and corporate functions to support rapid growth. ## Why Work Here - **Culture**: Described as “human-centered” and “culture-centered,” with a strong emphasis on growth and collaboration. The company often uses the “rocketship” metaphor to signal momentum. - **Work environment**: Hybrid and in-office options depending on role and location. Many roles are remote; some offices (Miami, Bangalore, Dublin) are in-office or hybrid. Built In lists both on-site and remote positions. - **Career development**: Structured interview process, take-home assessments for tech roles, and a software sales development program for career switchers. - **Global presence**: Opportunities to work in over 20 countries, with hubs in Miami, Dublin, Bangalore, Sydney, Vancouver, and more. - **Recognition**: Certified “Great Place to Work”; noted for positive workplace culture. ## Sources 1. [kaseya.com – Careers](https://www.kaseya.com/careers/) 2. [kaseya.com – About Kaseya](https://www.kaseya.com/company/) 3. [builtin.com – Kaseya Company Profile](https://builtin.com/company/kaseya) ## Other roles at Kaseya Careers - [Executive Assistant](https://feeny.ai/job/executive-assistant-kaseya-careers-united-states-88vbb8k0h2vt) — United States - [Solution Specialist](https://feeny.ai/job/solution-specialist-kaseya-careers-miami-39h1ek5rqs7h) — Miami, FL - [Senior Accountant](https://feeny.ai/job/senior-accountant-kaseya-careers-united-states-n6tabs98fchk) — United States - [Staff Accountant](https://feeny.ai/job/staff-accountant-kaseya-careers-united-states-721fnfp1se16) — United States - [Senior Director, Cloud Engineering](https://feeny.ai/job/senior-director-cloud-engineering-kaseya-careers-sunnyvale-bwrvq0se5xmv) — Sunnyvale, CA - [Account Manager](https://feeny.ai/job/account-manager-kaseya-careers-norwalk-xyegk9zye9t6) — Norwalk, CT - [Senior Director, Segment Marketing - Platform & Strategic](https://feeny.ai/job/senior-director-segment-marketing-platform-strategic-kaseya-careers-united-n2h2r8htme3a) — United States - [Sr. Software Engineer - .NET Full stack + API](https://feeny.ai/job/sr-software-engineer-net-full-stack-api-kaseya-careers-pune-70j49x37tyd3) — Pune, India - [Talent Acquisition Specialist I](https://feeny.ai/job/talent-acquisition-specialist-i-kaseya-careers-miami-kmx06feey42t) — Miami, FL - [Senior Customer Operations and Success Specialist](https://feeny.ai/job/senior-customer-operations-and-success-specialist-kaseya-careers-dublin-a8asyrp9krg5) — Dublin, Ireland