Machine Learning Developer

Autodesk makes software for the people who make things. If you’ve ever driven a high-performance car, admired a skyscraper, used a smartphone, or watched a great sci-fi movie, chances are you’ve experienced what millions of Autodesk customers do with our software. Autodesk’s Media and Entertainment team is hiring a Senior Machine Learning Developer to work on innovative projects that help our customers imagine, design, and realize a better world. Reporting to our Senior Software Development Manager, you’ll apply machine learning methodologies and tools to a wide range of data and use cases and help shape the future of media and entertainment technology.

Responsibilities

• Implement and improve new ML models and AI techniques for our content creation software.
• Work with research teams and software development teams in a globally distributed environment.
• In collaboration with other teams, define software requirements and specifications.
• Write clean, scalable and efficient code (Python or C++). Implement new features based on requirements.
• Analyze model errors and design mitigation strategies.
• Perform model training and hyperparameter tuning.
• Process and prepare data at scale.

Minimum Qualifications

• 3+ years of experience applying machine learning algorithms and libraries to business problems.
• Understanding the fundamental algorithms of machine learning.
• Experience in at least one of the following areas: data modeling, data architecture and network architectures, process automation, batch processing, artifact checkpointing, or similar.
• Coding skills in Python and/or C++.
• Experience with TensorFlow, PyTorch (or other standard deep learning frameworks).
• University degree in an AI/ML related discipline, such as computer science, mathematics, statistics, physics (or equivalent experience will be considered).

Preferred Qualifications

• Experience in VFX or game production.
• Cloud experience on AWS, Azure or GCP, ML Ops.
• Experience with statistical methods for machine learning.
• Deep learning techniques (network architectures, regularization techniques, learning techniques, loss functions, optimization strategies).
• Diffusion models.
• Advanced university degree in a related field of AI/ML (PhD or MSc).
• Experience working on innovative concepts and experimenting with new solutions and ideas.

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: Diversity and Belonging .