Autodesk is looking to leverage user behavior and industry trends to deliver highly personalized recommendations to customers, enhancing their buying journey and making sales and marketing efforts more efficient and connected.
Requirements
- Hands-on experience with Python and deep learning frameworks such as PyTorch or TensorFlow
- Exposure to e-commerce recommender systems and personalization technologies
- Experience applying Reinforcement Learning techniques within recommender systems
- Knowledge of the manufacturing and design or architecture and construction industries
- AWS Sagemaker, Flink, Raylab, ComitML
Responsibilities
- Work closely with a dedicated mentor to navigate our tech stack, define your project scope, and explore Autodesk’s culture and ecosystem
- Collaborate with the team through meetings and syncs to align on independent and shared machine learning initiatives
- Design, build, and experiment with software — exploring new technologies, gaining insights, and sharing your findings with the team
- Research cutting-edge advancements by reviewing academic papers and analyzing competitive software to inform your work
- Tell the story behind the data — translate insights from machine learning models into clear, actionable recommendations
Other
- Currently enrolled full-time in a PhD program with an expected graduation date in 2026 or 2027
- Academic focus in Artificial Intelligence / Machine Learning or a closely related field
- Proven ability to collaborate across teams and thrive in dynamic, cross-functional environments
- Strong project management and communication skills
- Ability to work in a flexible workplace environment with office, remote, and hybrid work preferences
