Principal ML Engineer ŌĆō eCommerce & Personalization
- Autodesk Inc.
- San Francisco, CA, USA
- 8mo ago
- Full-Time
- Remote
...
Job Requisition ID #
Position Overview┬Ā
This role can be remote within the U.S. or Canada, though San Francisco is the preferred location┬Ā
About the Team
At GET (Growth Experience Technology), weŌĆÖre transforming how customers
discover, buy, and use Autodesk. Our mission is to build seamless, data-informed digital
experiences that are intuitive, personalized, and scalableŌĆöempowering both our
customers and internal teams.
WeŌĆÖre investing in smarter platforms, connected sales and marketing systems, and
technologies that unlock deeper customer insights and faster decision-making.
The Role
WeŌĆÖre looking for a Principal (Staff) Machine Learning Engineer to help shape the
future of AutodeskŌĆÖs B2C eCommerce platform. This role involves full-lifecycle
ownershipŌĆöfrom ideation and modeling to deployment and optimization.
YouŌĆÖll collaborate across disciplines to develop intelligent systems that personalize user
experiences and deliver measurable impact. If youŌĆÖre passionate about solving
ambiguous business problems and building scalable ML systemsŌĆöeven if you donŌĆÖt
meet every qualificationŌĆöwe encourage you to apply.
What YouŌĆÖll Do
’éĘGuide the design, training, and deployment of ML models for real-time
personalization across AutodeskŌĆÖs eCommerce ecosystem.
’éĘCollaborate with Product Managers and Experience Designers to define what and
how personalization should be implemented.
’éĘTranslate business pain points into scalable ML or analytics solutions.
’éĘWork closely with the MLOps team to productionize models and ensure real-time
inference performance.
’éĘDevelop experimentation frameworks and run A/B tests to measure impact (e.g.,
CTR, bounce rate, add-to-cart rate).
At GET (Growth Experience Technology), weŌĆÖre transforming how customers
discover, buy, and use Autodesk. Our mission is to build seamless, data-informed digital
experiences that are intuitive, personalized, and scalableŌĆöempowering both our
customers and internal teams.
WeŌĆÖre investing in smarter platforms, connected sales and marketing systems, and
technologies that unlock deeper customer insights and faster decision-making.
The Role
WeŌĆÖre looking for a Principal (Staff) Machine Learning Engineer to help shape the
future of AutodeskŌĆÖs B2C eCommerce platform. This role involves full-lifecycle
ownershipŌĆöfrom ideation and modeling to deployment and optimization.
YouŌĆÖll collaborate across disciplines to develop intelligent systems that personalize user
experiences and deliver measurable impact. If youŌĆÖre passionate about solving
ambiguous business problems and building scalable ML systemsŌĆöeven if you donŌĆÖt
meet every qualificationŌĆöwe encourage you to apply.
What YouŌĆÖll Do
’éĘGuide the design, training, and deployment of ML models for real-time
personalization across AutodeskŌĆÖs eCommerce ecosystem.
’éĘCollaborate with Product Managers and Experience Designers to define what and
how personalization should be implemented.
’éĘTranslate business pain points into scalable ML or analytics solutions.
’éĘWork closely with the MLOps team to productionize models and ensure real-time
inference performance.
’éĘDevelop experimentation frameworks and run A/B tests to measure impact (e.g.,
CTR, bounce rate, add-to-cart rate).
’éĘBuild models that scale across product categories, including third-party
integrations for AutodeskŌĆÖs evolving marketplace.
’éĘPromote a data-informed culture by contributing to initiatives in segmentation,
recommendation systems, forecasting, churn prediction, and product analytics.
’éĘMentor 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, weŌĆÖd love to hear from you.
Preferred Experience
’éĘBackground in Data Science, Statistics, Computer Science, or a related field (we
also welcome applicants from non-traditional DS backgrounds)
’éĘ7+ years of hands-on related experience. We value experience with machine
learning infrastructure, model deployment, optimization and with software
design, architecture, and product development.
’éĘKnowledge of data mining, information retrieval, and statistical modeling.
’éĘExposure to A/B testing and experimental design.
’éĘExperience applying statistical and probabilistic methods to solve real-world
problems; familiarity with financial modeling is a plus.
’éĘAbility to connect data insights to business outcomes.
’éĘExperience in eCommerce, marketing technology, go-to-market systems, or other
high-scale data environments (e.g., fintech, social platforms).
Bonus Experience (Not Required)
’éĘAdvanced degree preferred but not required. Equivalent industry experience is
highly valued.
’éĘFamiliarity with cloud ML platforms (AWS, Azure) and MLOps practices.
’éĘExperience with personalization systems and real-time inference pipelines.
Why Autodesk?
’éĘWork on high-impact projects that shape the future of digital commerce.
’éĘCollaborate with a diverse and talented team of engineers, scientists, and
product leaders.
integrations for AutodeskŌĆÖs evolving marketplace.
’éĘPromote a data-informed culture by contributing to initiatives in segmentation,
recommendation systems, forecasting, churn prediction, and product analytics.
’éĘMentor 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, weŌĆÖd love to hear from you.
Preferred Experience
’éĘBackground in Data Science, Statistics, Computer Science, or a related field (we
also welcome applicants from non-traditional DS backgrounds)
’éĘ7+ years of hands-on related experience. We value experience with machine
learning infrastructure, model deployment, optimization and with software
design, architecture, and product development.
’éĘKnowledge of data mining, information retrieval, and statistical modeling.
’éĘExposure to A/B testing and experimental design.
’éĘExperience applying statistical and probabilistic methods to solve real-world
problems; familiarity with financial modeling is a plus.
’éĘAbility to connect data insights to business outcomes.
’éĘExperience in eCommerce, marketing technology, go-to-market systems, or other
high-scale data environments (e.g., fintech, social platforms).
Bonus Experience (Not Required)
’éĘAdvanced degree preferred but not required. Equivalent industry experience is
highly valued.
’éĘFamiliarity with cloud ML platforms (AWS, Azure) and MLOps practices.
’éĘExperience with personalization systems and real-time inference pipelines.
Why Autodesk?
’éĘWork on high-impact projects that shape the future of digital commerce.
’éĘCollaborate with a diverse and talented team of engineers, scientists, and
product leaders.
’éĘEnjoy flexible work arrangements and a culture that values innovation, learning,
and inclusion.
and inclusion.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software ŌĆō 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 ŌĆō itŌĆÖs at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When youŌĆÖre an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
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
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
Are 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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