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Machine Learning Research Engineer, 3D
Autodesk
Develop and deploy data pipelines for machine learning; organize and curate large multi-modal datasets for 3D generative AI features.
12d ago
C$119,800 - C$206,690
Experienced (8-12 years), Expert & Leadership (13+ years), Intermediate (4-7 years)
Full Time
Vancouver, British Columbia, 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 curation
data pipelines
code development
project leadership
data analysis
compliance management
- Work with our legal and trust teams to ensure compliant and ethical use of data.
- Organize and curate large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into a unified format suitable for machine learning.
- Develop and deploy highly scalable data pipelines for machine learning.
- Write robust, testable code that is well-documented and easy to understand.
- Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking.
- Conduct and analyze experiments on data to provide insights to other researchers and leadership.
What you bring
data modeling
ml implementation
cad data
ml benchmarks
multimodal data
linux
- Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry.
- Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
- Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).
- Experience with computational geometry, CAD data, and 3D formats such as meshes, boundary representations (BReps), or implicit representations.
- Strong publication record related to ML, datasets and benchmarks.
- Experience working with large multimodal machine learning datasets.
- Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
- MSc or PhD in Computer Science, Engineering, or a related technical discipline.
- Experience with collecting human data for training and evaluating ML models.
- Excellent communication skills to document code, produce visualizations, and present findings from experiments.
- Proficiency with Linux, cloud, version control, testing and deployment pipelines.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- will be conducted as part of the employment process
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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