Staff Applied ML Engineer
Kaseya Careers · Canada, Remote
Posted about 3 months ago · $220,000 – $280,000
or apply directly on Kaseya Careers's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Kaseya Careers's roles stay open a median of 49 days
- Reposted
- No
- Salary listed
- Yes 5% of Kaseya Careers's roles list one
- Ghost-job risk at Kaseya Careers
- high 76 stale, 7 reposted of 142 open
- Hiring momentum
- 205 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Kaseya Careers's own greenhouse board since 2026-08-03. Full hiring picture for Kaseya Careers.
About this role
The Staff Applied Machine Learning Engineer at Kaseya will focus on building AI-powered workflows and enhancing product capabilities through applied machine learning. Daily tasks include analyzing data, developing and integrating ML models, designing workflows for unstructured data, and mentoring junior engineers. The role involves collaboration with various teams to ensure the successful deployment of AI features and adherence to responsible AI practices.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Kaseya Careers as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Base salary range of CAD $220,000 – $280,000 / year
- Eligibility for benefits and additional rewards based on individual impact
- Opportunity to earn sales incentives based on revenue or utilization
Worth weighing
- Remote position may require self-motivation and discipline
- Focus on production-ready AI capabilities suggests a fast-paced environment
- No specific mention of work-life balance or company culture details
Summarised from Kaseya Careers's posting. Read the full original.
Listed by Kaseya Careers on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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