Job Requisition ID #
24WD81980
Position Overview
We are seeking an enthusiastic Data Developer Intern who is passionate about building and optimizing data pipelines and infrastructure to support cutting-edge AI-powered applications. The Fusion Machine Learning team is a multi-disciplinary group of engineers and researchers dedicated to developing AI/ML solutions for some of the biggest challenges in 3D design, manufacturing, and mechanical engineering.
Responsibilities
- Data Operations: Develop and execute strategies for the acquisition, transformation, and preparation of datasets to facilitate the training of ML models and make outputs of ML models usable
- Data Infrastructure: Support the development and maintenance of databases, data schemas, and queries, ensuring data integrity and accessibility
- Operational Efficiency: Contribute to improving the team’s efficiency by assisting in the implementation of MLOps and DevOps practices
- Data Analytics: Analyze complex datasets and effectively communicate valuable insights to technical and non-technical stakeholder audiences, including with visual tools and dashboards
- Deployment Automation: Adapt research models to automated deployment pipelines
- Collaboration: Collaborate across MLOps, Data Acquisition, Machine Learning, and Product Management teams
Minimum Qualifications
- Must be currently enrolled in a full-time, degree seeking program graduating by 2026
- Strong understanding of data modeling, database concepts, and data warehousing principles
- Proficiency in Python and SQL
- Experience with efficient algorithm and data structure design
- Experience with cloud data processing, training, and deployment platforms (e.g., AWS, Azure)
- Experience with statistical analysis, machine learning, natural language processing, and prompt engineering (e.g., sklearn, PyTorch, NLTK, LLMs)
- Self-motivated with the initiative to find and implement solutions independently
Preferred Qualifications
- Experience with UI development
- Experience in REST API development
- Working knowledge of Docker
- Experience with AWS SageMaker or other cloud machine learning platforms
- Experience working with data processing frameworks (e.g., Spark, Dask, Ray)
- Experience working with data integration tools, ETL/ELT frameworks, and workflow management systems
- Knowledge of the design and manufacturing industry and Autodesk or competitive products (CAD, CAE, CAM, etc.)
About The Canada Intern Program
The 2025 Canada Internship program runs for 16 weeks (January 6th – April 25th). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging