招聘
薪酬
$166,600 - $166,600
福利待遇
•Equity
•Learning
•Parental Leave
•Healthcare
必备技能
Python
TensorFlow
PyTorch
Job Requisition ID
25WD90525
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 e Commerce 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 e Commerce 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 e Commerce, 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.
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 – it’s 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 you’re 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
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. 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.
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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关于Autodesk

Autodesk
PublicAutodesk, Inc. is an American multinational software corporation that provides software products and services for the architecture, engineering, construction, manufacturing, media, education, and entertainment industries.
10,001+
员工数
San Francisco
总部位置
$50B
企业估值
评价
3.0
3条评价
工作生活平衡
3.0
薪酬
2.5
企 业文化
2.8
职业发展
3.2
管理层
2.5
35%
推荐给朋友
优点
Strong brand recognition in industry
Career advancement opportunities
Promotion to leadership roles
缺点
Lower compensation packages
Poor location/undesirable area
Exclusion from decision-making processes
薪资范围
929个数据点
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Machine Learning Engineer
2份报告
$160,615
年薪总额
基本工资
$123,550
股票
-
奖金
-
$130,000
$191,070
面试经验
2次面试
难度
3.0
/ 5
时长
14-28周
录用率
50%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
新闻动态
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