Staff Applied ML Engineer

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

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.

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• 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.