
10,000+ employees
Founded 1982
📱 Media
Architecture • Engineering • Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
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10,000+ employees
Founded 1982
📱 Media
Architecture • Engineering • Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
• Design and implement Machine Learning capabilities that improve Autodesk’s RAG platforms • Perform statistical and data analysis and exploration to generate datasets for model training and development • Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice • Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform. • Partner with stakeholders, to solve important business objectives across a range of problems • Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning
• MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields • 3+ years of applicable work experience in ML • Hands-on experience of NLU and integrating traditional search techniques into RAG • Proficiency with the Python Machine Learning stack, e.g. Pandas, deep learning frameworks, traditional ML, probability calibration etc. • Knowledge of experimental design and analysis of results • Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production • Demonstrate experience working in cross-functional teams to deliver ML solutions in production
• Annual cash bonuses • Comprehensive benefits package
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