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Principal Machine Learning Operations Developer for AEC
Autodesk
Develop and scale ML training pipelines and infrastructure for AEC foundation models.
2d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Calgary, Alberta, Canada
Hybrid
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
data pipelines
code development
distributed training
ml infrastructure
research collaboration
performance optimization
- Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
- Implement and maintain robust, testable code that is well documented and easy to understand
- Optimize distributed training systems and develop solutions for model parallelism, checkpointing, and efficient resource management
- Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
- Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
- Analyze performance bottlenecks and provide solutions to scaling problems
What you bring
python
cloud
pytorch
docker
bsc/msc
autodesk
- A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
- Adaptable and creative, comfortable building new infrastructure or working within existing codebases
- Experience with cloud services and architectures (AWS, Azure, etc.)
- Familiarity with version control, CI/CD, and deployment pipelines
- Experience with Autodesk or similar products (Revit, Sketchup, Forma)
- Excellent communicator who can convey complex technical concepts clearly to diverse audiences
- BSc or MSc in Computer Science or related field, or equivalent industry experience
- Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
- Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
- Strong knowledge of ML infrastructure and model parallelism techniques, including frameworks like PyTorch, Lightning, Megatron, DeepSpeed, and FSDPProficiency in Python and strong software engineering practices
- Excellent written documentation skills to document code, architectures, and experiments
- Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)
- Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
- Experience scaling ML training and data pipelines for large datasets
- Experience with distributed systems for machine learning and deep learning at scale
- Knowledge of the AEC industry and its specific data processing challenges
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Interview process
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Security clearanceInformation not given or found
Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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