Sr Principal ML Engineer eCommerce & Personalization

Principal (Staff) Machine Learning Engineer

At GET (Growth Experience Technology), we're transforming how customers discover, buy, and use Autodesk. Our mission is to build seamless, data-informed digital experiences that are intuitive, personalized, and scalableempowering both our customers and internal teams. We're investing in smarter platforms, connected sales and marketing systems, and technologies that unlock deeper customer insights and faster decision-making.

The Role: We're looking for a Principal (Staff) Machine Learning Engineer to help shape the future of Autodesk's B2C eCommerce platform. This role involves full-lifecycle ownershipfrom ideation and modeling to deployment and optimization. You'll collaborate across disciplines to develop intelligent systems that personalize user experiences and deliver measurable impact. If you're passionate about solving ambiguous business problems and building scalable ML systemseven if you don't meet every qualificationwe encourage you to apply.

What You'll Do:

• Guide the design, training, and deployment of ML models for real-time personalization across Autodesk's eCommerce ecosystem.
• Collaborate with Product Managers and Experience Designers to define what and how personalization should be implemented.
• Translate business pain points into scalable ML or analytics solutions.
• Work closely with the MLOps team to productionize models and ensure real-time inference performance.
• Develop experimentation frameworks and run A/B tests to measure impact (e.g., CTR, bounce rate, add-to-cart rate).
• Build models that scale across product categories, including third-party integrations for Autodesk's evolving marketplace.
• Promote a data-informed culture by contributing to initiatives in segmentation, recommendation systems, forecasting, churn prediction, and product analytics.
• Mentor and support team members, fostering a collaborative and inclusive environment.

Qualifications:

We recognize that talent comes in many forms. If you meet most of the criteria and are excited about the role, we'd love to hear from you.

Preferred Experience:

• Background in Data Science, Statistics, Computer Science, or a related field (we also welcome applicants from non-traditional DS backgrounds)
• 7+ years of hands-on related experience.
• We value experience with machine learning infrastructure, model deployment, optimization and with software design, architecture, and product development.
• Knowledge of data mining, information retrieval, and statistical modeling.
• Exposure to A/B testing and experimental design.
• Experience applying statistical and probabilistic methods to solve real-world problems; familiarity with financial modeling is a plus.
• Ability to connect data insights to business outcomes.
• Experience in eCommerce, marketing technology, go-to-market systems, or other high-scale data environments (e.g., fintech, social platforms).

Bonus Experience (Not Required):

• Advanced degree preferred but not required.
• Equivalent industry experience is highly valued.
• Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices.
• Experience with personalization systems and real-time inference pipelines.

Why Autodesk?

Work on high-impact projects that shape the future of digital commerce. Collaborate with a diverse and talented team of engineers, scientists, and product leaders. Enjoy flexible work arrangements and a culture that values innovation, learning, and inclusion.

Benefits:

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/.

Salary Transparency:

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity:

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.

Diversity & Belonging:

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging.

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