Job Requisition ID #23WD74035About the Digital Experience & Customer Empowerment Data Science Team (DXC-DS)The DXC-DS Team is responsible delivering Machine Learning Features that transform the customer experience for Sales, Marketing, and Customer Success functions at Autodesk.We aim to help our customers, through conversation, personalization, and other intelligent features on our platform. Our team members work extensively with stakeholders across the company, with significant technology leadership and opportunity for impact. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve complex customer problems using ML.Our 2024 focus is on the Autodesk Assistant, an LLM-driven, Universal Chatbot intended to provide generative answers to a wide range of our customers' inquiries. This system is in production and already driving rich customer conversations and better outcomes. Other examples of our work include models for routing customer queries to agents, designing effective scripts for our support chatbot, and measuring the impact of automation on customer forums.Position OverviewAs Senior Principal ML Engineer on the team, you will be responsible for leading the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. Senior Principal ML Engineers operate at a programmatic scale, taking responsibility for significant technical solutions and coordinating delivery with multiple stakeholder teams.Reporting to the Senior Manager on the team, this role combines the direct management of a number of Machine Learning Engineers with hands-on technical skills.Our team culture is built on collaboration, mutual support, and continuous learning. As a Sr Principal MLE, you will provide technical guidance and thought leadership for the team and across the company. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas.Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.ResponsibilitiesLead, mentor, develop, and manage less-experienced members of the team to deliver key ML-powered features for our Digital Customer PlatformYou will develop a program of work, partnering with stakeholders, to solve strategic business objectives across a range of horizonsTranslate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine LearningYou will design and implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platformsYou will perform statistical and data analysis and exploration to generate datasets for model training and developmentCollaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practiceMinimum QualificationsMS or PhD in Computer Science, Statistics, Engineering, Economics, or related field We also welcome applicants from non-traditional ML backgrounds5+ years of applicable work experience in ML2+ years managing or leading an ML teamProficiency with the Python Machine Learning stack, e.g. Pandas, etcKnowledge of experimental design and analysis of resultsDemonstrate experience with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in productionDemonstrate experience working in cross-functional teams to deliver ML solutions at scalePreferred QualificationsFamiliarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP ApplicationsSQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or AthenaAdvanced software engineering skills including data structures and algorithmsExperience with data pipelines and model serving in AWSExperience with MLOps, especially on AWS, at scale#LIPOST#Li-KJ1Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belongingAre you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
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