# Senior Manager / Senior Principal of Applied AI Engineering **Company**: Autodesk **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://autodesk.wd1.myworkdayjobs.com/en-US/Ext/job/California-USA---Remote/Senior-Principal-AI-ML-Developer_26WD100188?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f848b343-b03 ## Description The GET Applied AI organisation at Autodesk is looking for a seasoned Senior Manager / Senior Principal of Applied AI Engineering to lead the application of AI, machine learning, and advanced analytics across Autodesk's B2C business. This role will play a critical leadership role in shaping how Autodesk uses data and AI to build the eCommerce and personalisation platforms of the future. As a Sr. Principal Applied AI Engineer at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our users' platform activities and industry trends to create personalised recommendations that are delivered to our users at the optimal moment. As a senior leader within Applied AI, you will set technical and strategic direction, lead a portfolio of high-impact AI/ML initiatives, develop talent, and partner with senior business and technology leaders to translate Autodesk's business priorities into scalable AI capabilities. Responsibilities: - Set the Applied AI Strategy – Define and drive the vision, roadmap, and investment priorities for key data science and machine learning capabilities across Autodesk's B2C business. - Lead a Portfolio of High-Impact Initiatives – Own multiple complex, cross-functional AI/ML programs from strategy through production and business adoption. - Build and Develop a High-Performing Team – Provide leadership, coaching, and career development for Data Scientists and Machine Learning Engineers. - Provide Technical Leadership – Establish technical direction and engineering standards for machine learning systems, model development, experimentation, evaluation, production deployment, and MLOps. - Expand Autodesk's ML Capabilities – Identify emerging opportunities where AI and machine learning can materially improve the customer experience or business performance. - Drive Experimentation at Scale – Establish robust experimentation and measurement practices that increase development velocity while maintaining scientific rigor. - Influence Senior Leadership – Serve as a trusted thought partner to senior leaders across Product, Engineering, eCommerce, Marketing, Finance, and other functions. - Drive Cross-Functional Execution – Initiate and lead large-scale, complex strategic initiatives spanning multiple teams and organisations. - Champion a Data- and AI-Driven Culture – Evangelise best practices in applied AI, machine learning, experimentation, and evidence-based decision-making. - Translate Technology into Business Impact – Develop compelling narratives that connect data, model performance, customer behaviour, and financial outcomes. - Raise the Organisational Bar – Establish reusable frameworks, processes, and best practices that improve how Applied AI teams prioritise work, evaluate opportunities, design solutions, and measure results. Minimum Qualifications: - Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or another related quantitative or technical field. - 10+ years of experience in Data Science, Machine Learning, Applied Research, or a related technical discipline, with significant experience delivering production-scale machine learning solutions. - Demonstrated experience leading teams, technical organisations, or major cross-functional programs, including setting strategy, establishing priorities, and driving execution across multiple simultaneous initiatives. - Experience developing technical talent through coaching, mentorship, technical leadership, performance management, or people management. - Proven ability to lead technical strategy, machine learning system design, and optimisation of production-scale ML infrastructure, including model deployment, model evaluation, data processing, monitoring, debugging, and model optimisation. Preferred Qualifications: - MS or PhD in Data Science, Statistics, Computer Science, Machine Learning, Engineering, or another quantitative discipline. - 15+ years of experience in machine learning, data science, or related disciplines, ideally including experience in eCommerce, personalisation, growth, digital products, or consumer-facing platforms. - 5+ years of experience in technical or people leadership, including building and developing high-performing Data Science and/or Machine Learning Engineering teams. Benefits: - From health and financial benefits to time away and everyday wellness, Autodesk gives employees the best, so they can do their best work. ## Skills ### Required - Machine Learning - Data Science - Statistics - Computer Science - Engineering - Leadership - Technical Strategy - MLOps - Cloud Machine Learning Platforms ### Nice to have - eCommerce - Personalisation - Growth - Digital Products - Consumer-Facing Platforms - Technical Leadership - People Leadership --- Source: [Apply at autodesk.wd1.myworkdayjobs.com](https://autodesk.wd1.myworkdayjobs.com/en-US/Ext/job/California-USA---Remote/Senior-Principal-AI-ML-Developer_26WD100188?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)