<div><div><strong>Job Requisition ID #<br/><br/></strong>23WD73658<br/><br/><strong>About The DXC-DS Team<br/><br/></strong>The Digital Experience & Customer Empowerment Team is responsible for applying technology and analysis to improving the direct sales, marketing, customer support & enablement, and community functions at Autodesk. Our team is focused on delivering machine learning models to production at scale and continuously improving their performance. 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. Recently, our focus has been 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.<br/><br/><strong>Position Overview<br/><br/></strong>As a Lead Data Scientist / ML Engineer on the team, you will be responsible for the design, analysis, and delivery of data-driven solutions to significant business challenges. Lead Data Scientists operate at a programmatic scale, taking responsibility for significant technical solutions and coordinating delivery with multiple stakeholder teams. As the role develops, you can also be responsible for managing team members directly. Our team culture focuses on collaboration, mutual support, and continuous learning. As a Lead DS, you will also include providing technical guidance, and other relevant advice to peers and colleagues within the team, and across the company. We emphasise an agile, hands-on, and technical approach at all levels of the team. Finally, as a team we strive for excellence in the theory and practice of Data Science. This means that we want to continuously improve our method of doing Data Science / Machine Learning, and our knowledge of trends and techniques relevant to our areas. We encourage personal development and knowledge sharing.<br/><br/>You will report to: Sr. Manager, Data Science<br/><br/>Role Location: San Francisco, CA or Atlanta, Georgia<br/><br/><strong>Responsibilities<br/><br/></strong><ul><li>Design & Implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platforms</li><li>Develop a program of work, coordinating with partners and stakeholders, to solve strategic business objectives</li><li>Collaborate to translate business requirements and objectives into problems that can be solved with a combination of data, statistics, and machine learning</li><li>Perform statistical and data analysis and exploration to generate datasets for model training, and insights for design of solutions in the above areas</li><li>Collaborate with other members of the team to get to better solutions, to improve our processes, and to keep our team at the cutting edge of technology</li><li>Lead, mentor, support, and, optionally, manage more junior members of the team in achieving DS & ML excellence<br/><br/></li></ul><strong>Minimum Qualifications<br/><br/></strong><ul><li>MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field We also welcome applicants from non-traditional DS backgrounds</li><li>5+ years of applicable work experience</li><li>Proficiency with the Python Data Science stack, e.g. Pandas, etc</li><li>Knowledge of experimental design and analysis of results</li><li>SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena</li><li>You have demonstrable experience applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)<br/><br/></li></ul><strong>Preferred Qualifications<br/><br/></strong><ul><li>Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)</li><li>Experience from deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications</li><li>Experience working in multidisciplinary teams to provide ML solutions at scale</li><li>Advanced software engineering skills including data structures and algorithms</li><li>Experience with data pipelines and model serving in AWS</li><li>Experience with MLOps, especially on AWS, at scale<br/><br/></li></ul><strong>The Ideal Candidate<br/><br/></strong><em>There is no single ideal profile for a candidate for this role. We encourage you to apply if you think you would add to our team's ability to deliver innovative ML, even if you don't meet every single criterion.<br/><br/></em><strong>Learn More<br/><br/></strong><strong>About Autodesk<br/><br/></strong>Welcome 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.<br/><br/>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.<br/><br/>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!<br/><br/><strong>Benefits<br/><br/></strong>From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/<br/><br/><strong>Salary transparency<br/><br/></strong>Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $138,700 and $224,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<br/><br/><strong>Equal Employment Opportunity<br/><br/></strong>At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.<br/><br/><strong>Diversity & Belonging<br/><br/></strong>We 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-belonging<br/><br/><strong>Are you an existing contractor or consultant with Autodesk?<br/><br/></strong>Please search for open jobs and apply internally (not on this external site).</div></div>
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<div> <div> Job Requisition ID # </div>                24WD78712  <div> Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML) @Autodesk </div> <div> The DXC-ML Team is responsible for delivering Machine Learning features that enhance 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, fostering significant technology leadership and opportunities for impact. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve complex customer problems using ML. </div> <div> Our focus is on optimizing e-commerce through advanced techniques in conversion, segmentation, and behavior targeting. This initiative aims to enhance customer experiences and drive better business outcomes. For instance, we are developing sophisticated models to personalize customer journeys, segmenting users based on behavior patterns, and implementing targeted marketing strategies. Other examples of our work include creating algorithms to predict customer purchasing behavior, designing dynamic content for personalized shopping experiences, and measuring the impact of these optimizations on overall sales and customer satisfaction. </div> <div> Position Overview </div> <div> As a ML Engineer in e-commerce, you will support the design, analysis, and delivery of data-driven solutions to business challenges. Junior ML Engineers work to develop and implement ML-driven technical solutions to customer needs on our platform. You will collaborate with multi-disciplinary teams, contributing to various phases of ML projects. </div> <div> Reporting to the Director of E-commerce ML, this role is hands-on, focusing on developing technical skills with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning. As an MLE, you will receive technical guidance and mentorship from senior team members and other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team. Our team is committed to excellence in both the theory and practice of Machine Learning, and we encourage personal development and knowledge sharing among all team members. </div> <div> Job Location: San Francisco </div> <div> Responsibilities </div> <ul> <div> Assist in the design and development of ML models and algorithms to solve e-commerce optimization challenges, focusing on conversion, segmentation, and behavior targeting </div> <div> Apply ML technologies to create data-driven solutions that enhance customer experiences and drive business outcomes </div> <div> Collaborate with multi-disciplinary stakeholder teams to support the delivery of ML-driven solutions, aligning technical efforts with business goals </div> <div> Contribute to the end-to-end lifecycle of ML projects, from initial data analysis and model development to deployment and performance monitoring </div> <div> Receive technical guidance and mentorship from senior engineers, fostering a culture of continuous learning and mutual support within the team </div> <div> Implement agile, hands-on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs </div> <div> Stay up-to-date with the latest trends and techniques in Machine Learning, contributing to the continuous improvement of our ML practices </div> <div> Communicate technical concepts and project progress effectively to both technical and non-technical stakeholders, ensuring transparency and alignment </div> <div> Implement testing and validation frameworks to ensure the accuracy, reliability, and scalability of ML models in production </div> <div> Contribute to the team's knowledge sharing, fostering an environment that values innovative thinking and the exploration of new ideas in Machine Learning </div> </ul> <div> Preferred Qualifications </div> <ul> <div> 2 years' of experience </div> <div> Bachelor's or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience) </div> <div> Understanding of fundamental statistical concepts and techniques used in data science and machine learning </div> <div> Exposure to e-commerce and digital marketing principles, including customer segmentation, user behavior analysis, and conversion optimization </div> <div> Strong focus on delivering measurable results and value to the business, with a data-driven approach to decision-making </div> <div> Proficiency in SQL and familiarity with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena </div> <div> Foundational software engineering skills, including an understanding of data structures and algorithms </div> <div> Experience or coursework related to data pipelines and model serving in AWS, including MLOps practices </div> <div> Basic understanding of designing and conducting experiments, including A/B testing, to validate ML models and strategies </div> <div> Familiarity with causal inference methods to understand and model the effects of various interventions in e-commerce settings </div> <div> Proficiency in developing and implementing models for behavior targeting to enhance personalized customer experiences and increase conversion rates </div> <div> Knowledge of attribution modeling to assess the impact of various marketing and optimization efforts </div> </ul> <div> Learn More </div> <div> About Autodesk </div> <div> Welcome 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. </div> <div> <br/> 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. </div> <div> <br/> 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! </div> <div> Benefits </div>  From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting <div> https://benefits.autodesk.com/ </div> <div> Salary transparency </div>        Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $99,500 and $171,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.  <div> Equal Employment Opportunity </div> <div> At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. </div> <div> Diversity & Belonging </div>  We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: <div> https://www.autodesk.com/company/diversity-and-belonging </div> <div> Are you an existing contractor or consultant with Autodesk? </div> <div> Please search for open jobs and apply internally (not on this external site). </div> </div>
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Machine Learning Engineer Autodesk Jobs

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