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