{"id":53574,"url":"https://alion.io/job/kaseya-senior-staff-applied-ml-engineer","title":"Staff Applied ML Engineer","company":{"id":2257,"name":"Kaseya","domain":"kaseya.com","url":"https://alion.io/company/kaseya","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":17,"ghost_share":0,"stale_share":0.824,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":220000,"max":280000,"currency":"CAD","period":"year","gross":null,"usd_annual":196497},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"Kubeflow","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Spark","optional":true},{"name":"Tool Use","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-05-15T06:04:21Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-20T00:36:26Z","board_verified":true,"closed_at":null,"days_open":157,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":156},"description":"About Kaseya\nKaseya 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.\nBacked 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.\nFounded 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.\nWe'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.\nAt Kaseya, we don't just raise the bar. We build it.\nJob Title:\nStaff Applied Machine Learning Engineer (AI Workflows & Product Intelligence)\nWhy Kaseya?\nJoin 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.\nJoin the Kaseya growth rocket ship and see how we are #ChangingLives!\nJob Summary\nWe’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.\nRoles & Responsibilities\nAnalyze product and customer data using Python, pandas, SQL, PySpark, or similar tools to identify patterns and modeling opportunities\nBuild and productionize ML models for classification, recommendations, similarity, ranking, routing, and prediction use cases\nDesign AI-powered workflows that transform unstructured inputs such as tickets, emails, forms, messages, and logs into structured data\nPartner with Engineering teams to integrate ML models and AI workflows into production systems through APIs, services, and automation logic\nDefine evaluation methods, telemetry, feedback loops, and monitoring practices for AI-powered product features\nBuild reusable patterns, templates, and best practices for data ingestion, feature creation, model usage, and responsible AI implementation\nProvide technical guidance to product teams on AI opportunity sizing, ML design, model trade-offs, and production readiness\nMentor junior data and ML engineers through code reviews, model reviews, pairing, and technical coaching\nRequired Qualifications\n5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role\nExperience building ML models for classification, recommendation, similarity, ranking, prediction, or related product use cases\nExperience using Python, pandas, SQL, and PyTorch or similar tools for data analysis and model development\nExperience using PySpark or similar distributed data processing frameworks\nExperience integrating ML models into production systems through APIs, microservices, batch workflows, or automated product workflows\nPreferred Qualifications\nExperience with LLM-powered workflows, RAG, prompt engineering, fine-tuning, tool use, or agent orchestration\nExperience building agent-assist features, automated resolution workflows, or AI-powered operational products\nExperience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar platforms\nExperience with production model monitoring, model evaluation, online experiments, or feedback loops\nExperience applying matrix factorization, embeddings, clustering, dimensionality reduction, or latent factor modeling\nExperience working in a platform or enablement role supporting multiple product teams\nExperience mentoring data scientists, ML engineers, analysts, or software engineers on applied ML practices\nCompensation Range\nThe base salary range for this job is CAD $220,000 - $280,000 / year.\nAn 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.\nAdditional Information\nKaseya 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.\nAdditional information\nKaseya 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.","description_format":"text","description_chars":5891,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","RMM & MSP Software","Backup & Disaster Recovery"],"lifecycle":[{"event":"open","at":"2026-05-15T06:04:21Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.218,"p_room":0.28,"age_days":156,"expected_fill_days":28,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":196497,"is_top_pay":false},"html_url":"https://alion.io/job/kaseya-senior-staff-applied-ml-engineer","json_url":"https://alion.io/job/kaseya-senior-staff-applied-ml-engineer.json","meta":{"generated_at":"2026-10-20T01:33:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1955,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2257},"rest":"https://alion.io/mcp/rest/get_company?id=2257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkaseya-senior-staff-applied-ml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkaseya-senior-staff-applied-ml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkaseya-senior-staff-applied-ml-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kaseya-senior-staff-applied-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkaseya-senior-staff-applied-ml-engineer"}]}