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Principal /Staff level Engineer- Machine Learning

Autodesk

United States

Remote

USD 146,000 - 238,000

Full time

2 days ago
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Job summary

Autodesk seeks a Staff Data Scientist/Machine Learning Engineer to implement cutting-edge data science projects for its B2C business. In this role, you will develop personalized eCommerce optimizations, lead experimentation efforts, and mentor junior talent. Join us to drive innovation and shape the future of user engagement within our platforms.

Benefits

Health and financial benefits
Annual cash bonuses
Comprehensive benefits package

Qualifications

  • 5+ years of hands-on experience in machine learning design and deployment.
  • Strong understanding of statistics, probability, and financial modeling.
  • Experience with A/B testing and experimental design.

Responsibilities

  • Develop and implement machine learning models for eCommerce personalization.
  • Drive experimentation frameworks for rapid iteration of models.
  • Mentor junior data scientists and lead strategic projects.

Skills

Machine Learning
Data Mining
Statistical Analysis
A/B Testing
Data Insights Translation

Education

Bachelor's degree in Data Science
MS or PhD in a quantitative discipline

Tools

AWS
Azure

Job description

Job Requisition ID #

24WD84408

Position Overview

This role can be remote within the U.S. or Canada, though San Francisco is the preferred location

We’re looking for a seasoned Staff Data Scientist/Machine Learning Engineer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in helping Autodesk build the eCommerce platforms of the future.

Data Scientists/MLE are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our Data Scientists work on projects from ideation to implementation.
As a Staff Data Scientist at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our users’ platform activities and industry trends to create personalized recommendations that are delivered to our users at the optimal moment.


You will report to a Director of Machine Learning Engineer .

Responsibilities

  • Act as a C hampion for a data-driven culture, evangelizing best practices and s hape the direction of key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.

  • Expand ML Capabilities – Identify, design, prototype, and build scalable end-to-end ML pipelines that enhance Autodesk’s eCommerce personalization at scale .

  • Drive Experimentation 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 S tories 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

  • 5 + years of hands-on experience in machine learning design, development and deployment .

  • 5 + 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.

  • 7 + 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


See how we’re building a diverse workforce and a culture of belonging to give more people the chance to imagine, design, and create a better world. Learn about all things #AutodeskLife by following us on Instagram, Twitter, Facebook, LinkedIn, and Glassdoor.

At Autodesk, we are 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

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – 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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on 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 and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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