Autodesk
Design and make software for architecture, engineering, construction, and entertainment industries.
Develop and deploy ML models/pipelines for business analytics
1 days ago
Entry-level
Internship
Fort-Coulonge, Quebec, 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
Description
ml pipelines
model development
model evaluation
reusable components
ml standards
predictive modeling
In this role you will develop predictive and prescriptive models, production‑ready pipelines, and reusable ML components that enhance forecasting, optimization, segmentation, and decision‑automation across BMP initiatives. The position requires strong technical expertise, solid software‑engineering practices, and the ability to translate business problems into robust machine‑learning solutions in an agile, fast‑moving environment.
- Translate complex business and analytical problems into machine‑learning solutions that create measurable value.
- Design, develop, and deploy ML models for prediction, classification, clustering, optimization, and anomaly detection supporting BMP use cases.
- Build and maintain end‑to‑end ML pipelines including data preparation, feature engineering, model training, validation, deployment, and monitoring.
- Collaborate with data analysts, data engineers, and business stakeholders to ensure models align with objectives and data realities.
- Implement scalable, reusable, and well‑documented ML components following software‑engineering best practices.
- Evaluate model performance, explain results to non‑technical audiences, and continuously improve models based on feedback and evolving data.
- Contribute to defining ML standards, tooling, and best practices within the BMP Analytics team.
- Stay current with emerging machine‑learning techniques and assess their applicability to BMP business challenges.
Requirements
master’s
reinforcement learning
sql
python
powerbi
aws
- Minimum qualifications: currently enrolled in a full‑time Master’s program, experience with reinforcement learning, proficiency in SQL, Python, Cursor, PowerBI, and AWS.
- Preferred qualifications: prior experience with sales or marketing analytics and interest in gaming analytics.
Benefits
The 2026 Canada internship runs for 16 weeks from May 4 to August 21 and is fully paid. Interns work on meaningful projects, receive mentorship from industry leaders, and participate in technical talks and development activities, with flexible workplace options that support office, remote, or hybrid preferences.
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.