ML Engineer

About The CompanyAutodesk is a global leader in 3D design, engineering, and entertainment software, empowering professionals across industries to create innovative solutions that shape the future. With a commitment to sustainability, creativity, and technological advancement, Autodesk provides a comprehensive suite of tools and platforms that enable architects, engineers, designers, and media artists to bring their ideas to life. The company fosters a culture of innovation and inclusion, emphasizing continuous learning and development to stay at the forefront of digital transformation. Autodesk's dedication to making a positive impact extends beyond technology, focusing on building a diverse and inclusive workplace where all employees can thrive and contribute to meaningful projects that influence the world.About The RoleWe are seeking a highly skilled Principal (Staff) Machine Learning Engineer to join our Growth Experience Technology (GET) team. This role offers the flexibility of remote work within the U.S. or Canada, with a preference for candidates located in San Francisco. The successful candidate will take full ownership of the lifecycle of machine learning initiatives aimed at enhancing Autodesk’s B2C eCommerce platform. Your primary responsibilities will include designing, developing, and deploying ML models that personalize user experiences and drive measurable business results. You will collaborate closely with cross-functional teams, including product managers, experience designers, and MLOps specialists, to translate complex business challenges into scalable ML solutions. This position provides an exciting opportunity to influence the future of digital commerce at Autodesk by building intelligent, data-driven systems that improve customer engagement and operational efficiency.QualificationsBackground in Data Science, Statistics, Computer Science, or a related field; advanced degrees preferred but not required7+ years of hands-on experience in machine learning, data analysis, or related rolesExperience with machine learning infrastructure, model deployment, and optimizationStrong knowledge of data mining, information retrieval, and statistical modeling techniquesProficiency in A/B testing, experimental design, and analysis of business impactAbility to translate data insights into actionable business strategiesExperience working in high-scale environments such as eCommerce, marketing technology, or fintechFamiliarity with cloud platforms like AWS or Azure and MLOps practices (preferred)Experience with personalization systems, real-time inference pipelines, and scalable ML solutions (preferred)Excellent communication skills and ability to mentor team membersResponsibilitiesDesign, train, and deploy machine learning models for real-time personalization across Autodesk’s eCommerce ecosystemCollaborate with product managers and experience designers to define personalization strategies and implementation approachesConvert business challenges into scalable ML or analytics solutions to improve customer engagementWork closely with MLOps teams to productionize models, ensuring optimal real-time inference performanceDevelop experimentation frameworks and conduct A/B testing to measure impact on key metrics such as click-through rate, bounce rate, and add-to-cart rateBuild models that can scale across multiple product categories, including third-party integrations within Autodesk’s marketplacePromote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analyticsMentor and support team members, fostering an inclusive and collaborative working environmentBenefitsComprehensive health, dental, and vision insurance plansCompetitive salary and performance-based bonusesStock grants and equity optionsFlexible work arrangements to support work-life balancePaid time off and holidaysProfessional development opportunities and continuous learning programsWellness programs and employee assistance resourcesAccess to innovative projects that shape the future of digital commerceEqual OpportunityAt Autodesk, we are committed to fostering a diverse and inclusive workplace. We are proud to be an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.