Senior Principal AI/ML Developer

🕒 4 days ago

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Logo of Autodesk

Autodesk

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

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.

📋 Description

• Champion a data-driven culture, evangelize best practices, and shape key data science areas including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights • Identify, design, prototype, and build scalable end-to-end machine learning pipelines for Autodesk eCommerce personalization • Develop and implement robust experimentation frameworks supporting rapid iteration and deployment of personalization models • Create compelling stories and logical recommendations based on data and machine learning model insights • Partner with cross-functional teams to initiate, lead, and complete large-scale, complex strategic projects • Advise senior cross-functional leaders on project prioritization, scope, recommendations, and data-driven business decisions • Mentor and guide junior data scientists and MLEs through project planning, technical decisions, and code and documentation review • Develop and train machine learning models and algorithms for personalized recommendations in Autodesk's B2C eCommerce platforms

🎯 Requirements

• Bachelor's degree in data science, statistics, computer science, or a related technical field • 10 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure • 7 years of experience with design and architecture, and testing and launching software products • 10+ years of hands-on experience with data mining and information retrieval • Experience in A/B testing and experimental design • Strong understanding of statistics, probability, and financial modeling • Ability to translate data insights into business impact • Preferred: MS or PhD in a quantitative discipline • Preferred: 15+ years of hands-on experience in machine learning design, development, and deployment, ideally in eCommerce • Hands-on experience with cloud machine learning platforms such as AWS and Azure • Knowledge of MLOps best practices

🏖️ Benefits

• Competitive compensation package • Annual cash bonuses • Stock grants • Comprehensive benefits package • Health and financial benefits • Time away • Everyday wellness • In-person onboarding and/or in-person ID verification may be required

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