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Principal ML Engineer – eCommerce & Personalization

Principal ML Engineer – eCommerce & Personalization

AutodeskSan Francisco, CA, United States
Hace 6 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Principal (Staff) Machine Learning Engineer

Location : Remote within the U.S. or Canada (preferred in San Francisco)

Job Requisition ID #25WD90527

Base pay range : $146,900.00 / yr – $237,600.00 / yr.

Position Overview

This role is part of GET (Growth Experience Technology), a team dedicated to building intuitive, data‑informed digital experiences for Autodesk’s customers. The engineer will shape the future of Autodesk’s B2C eCommerce platform, taking ownership of the full machine‑learning lifecycle from ideation to deployment and optimization.

About the Team

GET transforms how customers discover, buy, and use Autodesk products, focusing on scalable, personalized digital experiences that drive meaningful impact.

Role

As a Principal (Staff) Machine Learning Engineer, you will design, train, and deploy ML models for real‑time personalization across Autodesk’s eCommerce ecosystem, collaborating with Product Managers, Designers, and MLOps to bring solutions to production.

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

  • 7+ years of hands‑on experience in machine‑learning infrastructure, model deployment, and optimization.
  • Strong software design, architecture, and product development background.
  • Knowledge of data mining, information retrieval, and statistical modeling.
  • Experience with A / B testing and experimental design.
  • Ability to connect data insights to business outcomes.
  • Experience in high‑scale data environments such as eCommerce, marketing technology, or fintech.
  • Advanced degree preferred but not required; equivalent industry experience valued.
  • Preferred Experience

  • Background in Data Science, Statistics, Computer Science, or a related field.
  • Familiarity with cloud ML platforms (AWS, Azure) and MLOps practices.
  • Experience with personalization systems and real‑time inference pipelines.
  • Familiarity with financial modeling is a plus.
  • Bonus Experience (Not Required)

  • Advanced degree in a relevant field.
  • Expertise in eCommerce or marketing technology at a large scale.
  • Experience with personalization systems and real‑time inference pipelines.
  • Why Autodesk?

    You will work on high‑impact projects that shape the future of digital commerce, collaborating with a diverse and talented team across engineering, science, and product.

    Benefits

    Health and financial benefits, paid time off, wellness programs, and a comprehensive benefits package.

    Equal Employment Opportunity

    At Autodesk, we are an equal opportunity employer. We consider all qualified applicants 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 all qualified applicants regardless of criminal histories, consistent with applicable law.

    Diversity & Belonging

    We are committed to building a culture of belonging where everyone can thrive. Learn more about our diversity and inclusion efforts.

    Salary Transparency

    For U.S.-based roles, starting base salary ranges from $146,900 to $237,600 and may exceed this range based on experience and location. Additional compensation may include annual cash bonuses, commissions, stock grants, and a comprehensive benefits package.

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    Principal Ml Engineer • San Francisco, CA, United States