Senior Software Engineer, Autodesk

• You are a software engineer who is passionate about solving problems and building things
• You are excited to collaborate with researchers and engineers to bring the ML models they develop into Autodesk products
• You will report to a research manager in Autodesk Research
• We are a global team, located in London, San Francisco, Toronto, and remotely
• This role is based in the UK/EU time zone and we support both in-person, hybrid, and remote work
• BSc or MSc in Computer Science, or equivalent industry experience
• 3+ years of software development experience
• Experience with cloud services and architectures (e.g. AWS, Azure)
• Experience with version control, reproducibility, and CI/CD pipelines for deploying machine learning models
• Excellent written documentation skills to document code, architectures, and experiments
• Experience with ML model monitoring systems
• Experience with ML training and data pipelines and working with distributed systems
• Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray)

Desirable

• As a Senior Software Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world
• Test and Deploy Production Models: Automate ML model testing. Implement and use CI/CD pipelines to ensure seamless model deployment
• Monitor Model Health and Performance: Define, implement, and continuously monitor health metrics for deployed models. Track errors and issues in order of severity, providing timely and effective solutions. This role requires some on-call responsibilities
• Manage Re-Training Pipelines: Take ownership of the re-training pipeline for deployed ML models, ensuring they are continuously updated and optimized for performance
• Optimize Performance and Efficiency: Identify opportunities to enhance model performance, reduce computational costs, and minimize latency. Implement best practices to achieve these goals
• Product Ownership: Adopt a full product ownership mindset, escalating issues when necessary and effectively presenting results and insights to stakeholders and leadership