
10,000+ employees
Founded 1982
đ± Media
Architecture âą Engineering âą Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
đ„ 2 hours ago
đšđŠ Canada â Remote
đ” $131k - $191.4k / year
â° Full Time
đŽ Lead
đ€ Machine Learning Engineer
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10,000+ employees
Founded 1982
đ± Media
Architecture âą Engineering âą Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
âą Lead the architecture, design, and evolution of production-grade applied AI systems, including LLM, ML, retrieval, agentic, and automation-based capabilities âą Own the most complex technical problems across the stack, from model behavior and system design through infrastructure, reliability, quality, and operational scale âą Set technical direction for how AI solutions are built, integrated, evaluated, secured, monitored, and improved over time âą Drive platform and systems decisions across AWS environments, including performance, resilience, observability, security, and cost optimization âą Shape the design and optimization of data systems, including relational and graph databases, data access patterns, schema strategy, and query performance âą Lead infrastructure thinking for distributed and cross-regional services where availability, latency, failover, or scale require stronger architectural rigor âą Establish stronger engineering quality practices, including validation frameworks, automated testing, release discipline, QA strategy, and incident response maturity âą Translate ambiguous business or product opportunities into technical strategy, execution plans, and measurable outcomes âą Partner across engineering, product, data science, analytics, and business stakeholders to align priorities and drive decisions without requiring formal authority âą Provide technical leadership across a team of roughly 20 people by mentoring engineers, reviewing designs, clarifying tradeoffs, and raising the bar for execution âą Create structure in ambiguous environments by defining milestones, surfacing risks, tracking dependencies, and ensuring follow-through across distributed teams
âą Deep experience building and scaling production software systems with meaningful AI/ML components âą Python mastery and fluent with latest AI/ML research and implementations/patterns âą Proven success leading architecture and delivery for complex, cross-functional technical initiatives âą Strong hands-on engineering ability in backend systems, APIs, services, data pipelines, and production operations âą Significant experience with AWS administration and optimization, including cloud architecture, observability, security, reliability, and cost/performance tradeoffs âą Strong understanding of database systems design and optimization, especially relational systems, with graph database experience strongly preferred âą Ability to work effectively as a technical generalist across adjacent areas including DevOps, infrastructure engineering, quality/QA, and delivery planning âą Excellent judgment in ambiguous situations, including the ability to simplify, prioritize, and make sound tradeoff decisions âą Outstanding written communication, including architecture docs, technical strategy memos, design reviews, decision records, and async execution updates âą Outstanding verbal communication, with the ability to influence both technical and non-technical stakeholders âą Demonstrated success collaborating across geographies, functions, and time zones.
âą Health insurance âą Retirement plans âą Paid time off âą Flexible work arrangements âą Professional development âą Bonuses âą Stock grants
Apply Nowđ June 3
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đšđŠ Canada â Remote
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đ° $418M Convertible Note on 2021-11
â° Full Time
đŽ Lead
đ€ Machine Learning Engineer
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â° Full Time
đŽ Lead
đ€ Machine Learning Engineer
đŁïžđ«đ· French Required
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â° Full Time
đŽ Lead
đ€ Machine Learning Engineer
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đšđŠ Canada â Remote
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â° Full Time
đ Senior
đŽ Lead
đ€ Machine Learning Engineer
đŁïžđ«đ· French Required