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Added 16 mins ago
AC
Digital Transformation Lead - Pharma
Amaris Consulting | Part of Mantu
Ottawa, ON
- Full-time
Build a phased, multi-year roadmap that starts with core foundations before advanced analytics and AI.
Added 45 mins ago
HT
Financial Manager
Husky Technologies
Bolton, ON
- Full-time
Prepare and publish monthly P&L’s for all levels of the CSM organization including the Regional Service Level; provide financial support to all GM’s, Directors, and Cost Centres owners
Added 45 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Title: Financial Manager - PLM (Product Line Mgmt)
Added 47 mins ago
B
Manager, Strategy, Value Creation & Analytics
BDO
Toronto, ON
- Full-time
Our Toronto office is looking for a Manager to join its Strategy, Value Creation & Analytics practice in our Financial Advisory Services team. This is a new role, and the successful…
Added 47 mins ago
M
Senior IT Project Manager
Manulife
Toronto, ON
- Full-time
The Senior IT Project Manager is responsible for the end-to-end delivery of strategic Global Risk Technology and AI-enabled Governance, Risk & Compliance (GRC) transformation initiatives.
Added 1 hour ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
…scientists to deliver measurable business value through advanced analytics and machine…
Added 1 hour ago
Product Owner
Rogers Communications
Toronto, ON
The Manager, Data Science Product Owner is responsible for the Portfolio & Product Management, managing the roadmap, prioritization, and lifecycle of Machine Learning (ML) models and model…
Added 1 hour ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
Work with the Manager, Data Systems to set a vision for advanced analytics and applied AI within D&A, and develop and implement a comprehensive program that provides data-driven…
Added 2 hours ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Be a tactful and flexible team player aligned with the client's project vision and direction, keeping the Client Project Manager informed of work activities, risks, and issues.
Added 2 hours ago
LI
Business Analyst
Lotus IT Solutions
Toronto, ON
- Contract
Apply business process re-engineering concepts to identify alternative and cost-effective service delivery approaches
Added 2 hours ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Be a tactful and flexible team player aligned with the client's project vision and direction, keeping the Client Project Manager informed of work activities, risks, and issues.
Added 2 hours ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Be a tactful and flexible team player aligned with the client's project vision and direction, keeping the Client Project Manager informed of work activities, risks, and issues.
Added 3 hours ago
XI
Digital Product Manager
Xplore Inc
Markham, ON
- Full-time
We're looking for a Digital Product Manager to shape the strategy, business case, and roadmap behind the customer journeys that define how people interact with Xplore - from onboarding and…
Added 3 hours ago
V
Specialist - Project Planning & Integration
Vale
Canada
- Full-time
This is a permanent position reporting to the Sr. Manager, Project Controls - Canada and supporting Vale Base Metals' Canadian studies portfolio. The role is responsible for planning and…
Added 3 hours ago
V
Sr Specialist - Project Estimating & Cost Control
Vale
Canada
- Full-time
This is a permanent position reporting to the Sr. Manager, Project Controls - Canada and supporting Vale Base Metals' Canadian studies portfolio. The role serves as the technical leader for…
Added 3 hours ago
V
Sr. Specialist - Project Risk Management
Vale
Canada
- Full-time
This permanent position reports to the Sr. Manager, Project Controls – Canada and provides senior functional leadership for Project Risk Management across Vale Base Metals’ Canadian studies…
Added 3 hours ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, ON
- Full-time
Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
Added 3 hours ago
CG
Manager, Financial Planning and Analysis
Compass Group Canada
Mississauga, ON
- Full-time
Reporting to the Director of Finance, FP&A, the Manager, FP&A will be a key finance partner for the sector, providing leaders with clear financial insight, disciplined performance analysis…
Added 3 hours ago
SC
Business Development Manager
Sysco Canada Inc.
Vancouver, BC
- Full-time
…long-term strategic goals, prioritizing the use of advanced analytics and other forms of lead generation while leveraging Sysco's Salesforce platform, and negotiating contracts to secure…
Added 3 hours ago
P
Procurement & Supply Chain Analyst / Supply Chain Data Analyst (PSCA012)
Potenco
Canada
- Full-time
Review supplier quotations, pricing structures, and purchasing terms to identify cost-saving opportunities.
Added 4 hours ago
PS
ML/NLP Engineer
PRESCRIRE Solutions
Montreal, QC
- Full-time
3. Team Interviews (2-3 rounds): Technical discussions with engineering team and direct manager.
Added 4 hours ago
MR
Financial Planning and Performance Manager
Magnum RFM Ice Cream, Inc. (Selecta Philippines)
Toronto, ON
- Full-time
Financial Planning & Performance Manager is key business partner to the TMICC Canada Cross-Functional and Leadership Teams, playing a central role in shaping commercial decisions, growth…
Added 4 hours ago
P
Director, Product Management: AI
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
…outcomes including partner revenue, adoption, model quality and cost to serve. You will build a team of people who prototype and ship, hiring, developing and retaining strong product talent…
Added 4 hours ago
FA
Financial Analyst, Financial Planning & Analysis (Future Opportunities)
Fengate Asset Management
Oakville, ON
- Full-time
Fengate Asset Management is a leading alternative investment manager focused on infrastructure, private equity, and real estate strategies. Founded in 1974 in Hamilton, Ontario, and with…
Added 4 hours ago
S
Business Development Manager
Sysco
Vancouver, BC · Sysco Vancouver
- Full-time
…long-term strategic goals, prioritizing the use of advanced analytics and other forms of lead generation while leveraging Sysco’s Salesforce platform, and negotiating contracts to secure…

Autodesk

Engineering Manager, ML Infrastructure & Operations - Forma Generative AI

Toronto, ON, Canada

For Canada based roles, we expect a starting base salary between $158,000 and $231,000. · Full-time

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Applications open in a new tab.

Job details

Pay: For Canada based roles, we expect a starting base salary between $158,000 and $231,000.
Job type: Full-time
Apply by: Nov 18, 2026
Experience: 2+ years of engineering people-management experience, including coaching engineers, setting priorities, and driving technical delivery
Posting language: English
Posted: Oct 19, 2026

Original job description

Job Requisition ID #

26WD101527

Position Overview

Autodesk is transforming how the AEC industry designs and builds through integration of Artificial Intelligence (AI) and Machine Learning (ML) across its products, including AutoCAD, Revit, and Forma.

As the Engineering Manager for ML Infrastructure & Operations in Forma Generative AI, you will lead the team responsible for the systems that power our ML lifecycle, from large-scale training and experimentation through deployment, inference, and production operations. You will set technical direction for scalable, reliable, and cost-efficient ML infrastructure while partnering with platform teams on shared capabilities. You will establish the tooling, observability, and automated evaluation infrastructure needed to deliver AI models confidently and operate them reliably in production.

Your team will determine how quickly and reliably we can move from promising ML research to models operating at scale in Autodesk products. You will work closely with AI researchers, ML engineers, product teams, and platform organizations to make that possible.

Report: You will report to the Head of Engineering, ML - Forma Generative AI.

Location: We support hybrid work, and you work near our Toronto, Canada office. This role requires the ability to travel to team meetings, offsites, and conferences in the USA, Canada, and Europe.

Responsibilities

Lead, grow, and develop a team of ML engineers responsible for shared ML infrastructure and operations. Set clear priorities and expectations, coach engineers, and create opportunities for growth and increasing technical ownership
Own the infrastructure for large-scale ML training and experimentation, enabling researchers and ML engineers to run, scale, reproduce, and iterate on experiments efficiently
Own the infrastructure and workflows that move models from experimentation through product testing and production, enabling fast, safe, and reproducible deployment of new model versions
Define the architecture and optimization strategy for ML workloads as model size, data volume, compute requirements, and experiment velocity grow, with a focus on performance, utilization, and cost-efficiency
Own the operational health of shared ML systems in production, including observability, reliability targets, incident response, capacity planning, and continuous improvement
Partner with research engineering and platform teams to establish reusable infrastructure, deployment patterns, and production standards for ML systems
Build the infrastructure supporting model evaluation and release readiness, including automated regression testing, reproducible evaluation pipelines, versioning, lineage, and release gates, in partnership with Research, Product, and Trusted AI teams

Minimum Qualifications

BS/MS in Computer Science, Engineering, or equivalent practical experience
2+ years of engineering people-management experience, including coaching engineers, setting priorities, and driving technical delivery
Experience designing, building, and operating infrastructure for ML training, experimentation, and/or inference at scale
Experience designing and operating distributed systems in a major cloud environment (AWS, Azure, or GCP), including production observability, reliability, and capacity management
Strong software engineering, communication, and technical decision-making skills

Preferred Qualifications

Experience with distributed ML training, GPU workload orchestration, and/or high-performance inference systems
Experience building infrastructure for foundation models or other large-scale ML systems
Experience in the AEC industry, Autodesk, or AEC data and workflows
Evidence of staying current with fast-moving ML infrastructure technologies and applying new approaches pragmatically

The Ideal Candidate

You care deeply about reliability, performance, and cost efficiency across the ML lifecycle, and a low tolerance for production systems held together by hope
You communicate effectively across disciplines and levels, adapting your approach to build shared understanding with technical, product, and research audiences
You can move comfortably between people leadership, architecture, and problem-solving, making pragmatic build-vs-partner decisions
You create clarity in ambiguous technical areas by communicating effectively across research, engineering, product, and platform teams
You build teams with clear ownership, strong engineering standards, and room for engineers to grow

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $158,000 and $231,000. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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More about this job

Responsibilities

Lead and develop a team responsible for shared ML infrastructure, including large-scale training and experimentation, model deployment, production operations, and cost-efficient architecture. Establish reliable operational practices and automated evaluation and release workflows while partnering with research, product, and platform teams.

Requirements

Requires a bachelor's or master's degree in computer science, engineering, or equivalent practical experience, at least two years of engineering people-management experience, and experience operating scalable ML infrastructure and distributed cloud systems. Strong software engineering, communication, and technical decision-making skills are required; experience with distributed ML training, GPU orchestration, foundation models, or AEC workflows is preferred.

Skills

People Management
Machine Learning Infrastructure
ML Training and Experimentation
Model Deployment
Distributed Systems
Cloud Computing
Production Observability
Reliability Engineering
Capacity Planning
GPU Workload Orchestration
Distributed ML Training
High-Performance Inference
Automated Evaluation
Regression Testing
Cost Optimization
Technical Leadership

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
ML Infrastructure
ML Operations
Large-Scale Training
Experimentation
Model Deployment
Inference
Distributed Systems
AWS
Azure
GCP
GPU Workload Orchestration
Foundation Models
Observability
Reliability
Capacity Planning
Automated Evaluation
Regression Testing
Reproducible Evaluation Pipelines
Model Versioning
Data Lineage
Release Gates
Cost Efficiency
AEC
Autodesk Forma
AutoCAD
Revit

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