Senior Principal Research Engineer at Autodesk in Toronto, Ontario, Canada | Kablio

Role

Description

technical leadership

data quality

pipeline architecture

ml collaboration

multi-modal data

data transformation

Drive technical decision-making and influence engineering best practices across the team
Apply deduplication, normalization, and validation techniques to ensure high-quality data at scale
Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights
Participate in technical planning and roadmap development
Perform requirements analysis, working with team members of different levels and documenting solutions clearly
Mentor junior engineers and provide technical guidance on complex data engineering challenges
Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs
Work with large-scale, multi-modal datasets—including text and geometric data—to support preprocessing, augmentation, analysis, and content understanding
Transform unstructured AEC data into representations suitable for machine learning
Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources

Requirements

python

pytorch

aws

ph.d.

computational geometry

deep learning

2+ years of experience leading technical projects or mentoring junior engineers
You are comfortable working in newly forming, ambiguous areas where learning and adaptability are key skills
You collaborate easily with others and are comfortable providing technical leadership with minimal direction
Experience with computational geometry and geometric data methods
Excellent communication skills with the ability to influence and guide technical decisions
Ability to translate theoretical concepts into practical solutions and prototypes
Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks like PyTorch or Lightning
Solid understanding of core computer science algorithms and scalability considerations
Ph.D. or M.Sc. in Computer Science, Engineering, or a related field
Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry
Background in Architecture, Engineering, or Construction (AEC)
10+ years of experience in Machine Learning, Engineering, or related fields
You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
Demonstrated ability to provide technical leadership in cross-functional environments
Familiarity with machine learning concepts and frameworks, and how data is represented for training
Strong documentation skills for code, architectures, and experiments
Experience with AWS cloud services and SageMaker Studio for scalable data processing
Track record of driving technical innovation and best practices
You seek new ways to solve hard problems and can guide others in problem-solving approaches
Proficiency in Python and strong software engineering practices
Knowledge of the AEC industry and its specific data processing challenges
Experience managing or leading small technical teams
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

technical leadership

data quality

pipeline architecture

ml collaboration

multi-modal data

data transformation

Drive technical decision-making and influence engineering best practices across the team
Apply deduplication, normalization, and validation techniques to ensure high-quality data at scale
Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights
Participate in technical planning and roadmap development
Perform requirements analysis, working with team members of different levels and documenting solutions clearly
Mentor junior engineers and provide technical guidance on complex data engineering challenges
Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs
Work with large-scale, multi-modal datasets—including text and geometric data—to support preprocessing, augmentation, analysis, and content understanding
Transform unstructured AEC data into representations suitable for machine learning
Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources

Requirements

python

pytorch

aws

ph.d.

computational geometry

deep learning

2+ years of experience leading technical projects or mentoring junior engineers
You are comfortable working in newly forming, ambiguous areas where learning and adaptability are key skills
You collaborate easily with others and are comfortable providing technical leadership with minimal direction
Experience with computational geometry and geometric data methods
Excellent communication skills with the ability to influence and guide technical decisions
Ability to translate theoretical concepts into practical solutions and prototypes
Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks like PyTorch or Lightning
Solid understanding of core computer science algorithms and scalability considerations
Ph.D. or M.Sc. in Computer Science, Engineering, or a related field
Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry
Background in Architecture, Engineering, or Construction (AEC)
10+ years of experience in Machine Learning, Engineering, or related fields
You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
Demonstrated ability to provide technical leadership in cross-functional environments
Familiarity with machine learning concepts and frameworks, and how data is represented for training
Strong documentation skills for code, architectures, and experiments
Experience with AWS cloud services and SageMaker Studio for scalable data processing
Track record of driving technical innovation and best practices
You seek new ways to solve hard problems and can guide others in problem-solving approaches
Proficiency in Python and strong software engineering practices
Knowledge of the AEC industry and its specific data processing challenges
Experience managing or leading small technical teams
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