About the Team
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 scalable—empowering 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
ownership—from 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 systems—even if you don’t
meet every qualification—we 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.