Senior Applied Scientist, ML Predictive Maintenance (Asset Intelligence)

📋 Description

• Design, develop and optimize machine learning models for fault detection and classification
• Perform EDA on vibration, OT and time-series data to uncover insights and identify patterns
• Conduct experiments and evaluation of various algorithms on time-series modeling, signal
• Partner with PMs in product feature discovery and roadmap prioritization through validating product
• Collaborate with domain experts to validate findings and ensure alignment with real-world
• Engage with your community of peers to challenge the status quo, improve our shared ways of

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical
• 5+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow
• Strong foundational knowledge in machine learning, data science, and statistics
• Familiarity with time-series modeling techniques and feature engineering.
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through
• An expert level of English, both spoken and written, is required, as the individual will need to

🎁 Benefits

• Base pay is one part of the package. Depending on the role, compensation may also include
• Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at
• For roles in Canada and other countries, the plan differs on health coverage, retirement and leave