Principal Machine Learning Operations Developer for AEC at Autodesk in Toronto, Ontario, Canada | Kablio

Role

Description

data processing

ml pipelines

performance analysis

code development

distributed training

team collaboration

Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
Analyze performance bottlenecks and provide solutions to scaling problems
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

Requirements

aws/azure

docker

kubernetes

python

ci/cd

bsc/msc

Experience with cloud services and architectures (AWS, Azure, etc.)
Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
Experience with distributed systems for machine learning and deep learning at scale
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
Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
BSc or MSc in Computer Science or related field, or equivalent industry experience
Experience scaling ML training and data pipelines for large datasets
Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
Familiarity with version control, CI/CD, and deployment pipelines
Experience with Autodesk or similar products (Revit, Sketchup, Forma)
Knowledge of the AEC industry and its specific data processing challenges
Excellent communicator who can convey complex technical concepts clearly to diverse audiences
Adaptable and creative, comfortable building new infrastructure or working within existing codebases
Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information 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.

Culture + Values

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.

Environment + Sustainability

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.

Inclusion & Diversity

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.

Articles

Autodesk Careers

Autodesk Newsroom

Autodesk Products

Role

Description

data processing

ml pipelines

performance analysis

code development

distributed training

team collaboration

Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Design efficient data processing workflows for large-scale design datasets and industry-specific file formats
Support AI researchers by building scalable ML training pipelines and infrastructure for foundation model development
Analyze performance bottlenecks and provide solutions to scaling problems
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

Requirements

aws/azure

docker

kubernetes

python

ci/cd

bsc/msc

Experience with cloud services and architectures (AWS, Azure, etc.)
Experience with distributed data processing and ML infrastructure (e.g., Apache Spark, Ray, Docker, Kubernetes)
A self-starter who can solve problems with minimal supervision while collaborating effectively with a global, remote-first team
Experience with distributed systems for machine learning and deep learning at scale
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
Thrives in ambiguous, rapidly evolving areas where learning and flexibility are essential
BSc or MSc in Computer Science or related field, or equivalent industry experience
Experience scaling ML training and data pipelines for large datasets
Experience with performance optimization, monitoring, and efficiency in large-scale ML systems
Familiarity with version control, CI/CD, and deployment pipelines
Experience with Autodesk or similar products (Revit, Sketchup, Forma)
Knowledge of the AEC industry and its specific data processing challenges
Excellent communicator who can convey complex technical concepts clearly to diverse audiences
Adaptable and creative, comfortable building new infrastructure or working within existing codebases
Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information 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.

Culture + Values

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.

Environment + Sustainability

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.

Inclusion & Diversity

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.

Articles

Autodesk Careers

Autodesk Newsroom

Autodesk Products