Senior Principal AI/ML Developer

Autodesk, Inc.; San Francisco (CA); Hybrid; USD 179,000 - 321,000; Full time

Benefits offered by this job

Benefits in the U.S.

Onboarding support

Job summary

Autodesk, Inc. in San Francisco seeks a Senior Principal AI/ML Developer to shape data-driven personalization and analytic initiatives across the customer lifecycle. You will design scalable ML pipelines, drive experimentation, and translate insights into business impact for growth.

Led by senior stakeholders, you will mentor data scientists and collaborate with product, engineering, and marketing teams to deploy robust ML solutions at scale.

Qualifications

• Bachelor's degree in data science, statistics, computer science or related field.
• 10+ years leading technical project strategy, ML design and infra.
• 7+ years in design/architecture and launching software products.
• 10+ years hands-on data mining and information retrieval.
• Experience with A/B testing and experimental design.
• Strong statistics, probability and financial modeling knowledge.
• Ability to translate data insights into business impact.

Responsibilities

• Champion a data-driven culture and shape data science directions.
• Build scalable end-to-end ML pipelines for eCommerce personalization.
• Develop robust experimentation frameworks for rapid, rigorous iterations.
• Craft stories and recommendations from data insights and models.
• Partner with cross-functional teams on large-scale strategic projects.
• Mentor junior data scientists and review technical work.

Skills

Data science leadership

A/B testing

Statistical modeling

Business impact translation

ML design

Cloud ML platforms

MLE mentoring

Education

Bachelor's degree in data science

MS/PhD preferred

Tools

AWS

Azure

MLOps

Job description

Senior Principal AI/ML Developer Position Overview

At GET (Growth Experience Technology), we fuel sustainable growth by rethinking how customers discover, buy, and use Autodesk. Our focus is creating a seamless, data-driven experience that feels simple, predictable, and tailored to customer needs—while also making it easier and more efficient for our teams to support them. To get there, we're building smarter digital experiences, strengthening our platforms, and making our sales and marketing efforts much more efficient and connected. While the product experience will play a key role, a real unlock will come from the technologies that power better customer insights, more personalized engagement, and faster sales cycles.

Responsibilities

• Act as a champion for a data-driven culture, evangelizing best practices and shape the direction of key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights
• Identify, design, prototype, and build scalable end-to-end ML pipelines that enhance Autodesk’s eCommerce personalization at scale
• Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of personalization models
• Craft compelling Stories and make logical recommendations based on insights of data and ML models
• Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company
• Act as a thought partner to senior cross-functional leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals
• Mentor and guide junior data scientists/MLE by helping with project planning, technical decisions, and code and document review

Minimum Qualifications

• Bachelor's degree in data science, statistics, computer science, a related technical field
• 10 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
• 7 years of experience with design and architecture; and testing/launching software products
• 10+ years of hands-on experience with data mining, and information retrieval
• Experience in A/B testing and experimental design
• Strong understanding of statistics, probability, and financial modeling
• Ability to translate data insights into business impact

Preferred Qualifications

• MS or PhD in a quantitative discipline: data science, statistics, computer science, a related technical field
• 15+ years of hands-on experience in machine learning design, development and deployment, ideally in eCommerce domain
• Hands-on experience with cloud machine learning platform (AWS, Azure) and MLOps best practices

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

For U.S.-based roles, we expect a starting base salary between $178,875 and $320,650. 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.

Belonging

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

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification. 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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