Overview
On Site
USD 189,400.00 - 357,900.00 per year
Full Time
Skills
Machine Learning (ML)
Customer experience
Product management
Data Science
Computer science
Applied mathematics
Time series
Generative Artificial Intelligence (AI)
Deep learning
Statistical models
scikit-learn
Software architecture
Database design
Customer facing
Data management
Adobe
Leadership
Collaboration
Research
Artificial intelligence
SaaS
Science
Design
Mentorship
Analytical skill
Statistics
Physics
Regression analysis
Support vector machine
Clustering
Testing
ARM
R
Shipping
Python
SQL
Apache Spark
Coaching
Job Details
JOB LEVEL
M60/P60
EMPLOYEE ROLE
Individual Contributor
The Opportunity
The Adobe Experience Platform (AEP) Architecture team is looking for a Principal Scientist, Machine Learning to help us both architect and build new intelligent features for our platform. You will join a group of Architects and Principal Scientists who are working to invent the future of customer experience software. Help create a platform that lets the world's leading brands engage in a hyper-personalized way with their customers.
What you'll do
Collaborate with the Product Management, Engineering and Research teams to select, implement, curate, and continuously improve AI/ML models for our enterprise SaaS platform
Use your expertise in Statistical Sciences and AI/ML to help build our new Knowledge Assistant, predictive models and experimentation frameworks
Build systems and practices for rapidly taking data science and ML from research to customer feature with the highest quality and safety Partner with Adobe Research to develop, refine and iteratively improve groundbreaking AI models
Participate in our Architecture Review Board to assure we design our software to the exacting standards of Adobe and our customers
Mentor individual contributors within the Adobe engineering and architecture organization
What you need to succeed
An MS or PhD degree in an analytical field such as: Statistics, Physics, Computer Science, Applied Mathematics etc. or equivalent experience
At least 10 years of experience in data science, AI/ML engineering or related role
Solid understanding of Statistical Learning Models (Regression, Classification, Tree Based Models, SVM, Neural Networks, Clustering, Time Series, Anomaly Detection).
Must have an excellent grasp of statistical inference methods (both Bayesian and Frequentist), in particular as related to hypothesis testing, including: experience with power and sample-size calculations, multiple hypothesis testing, non-parametric tests, and multi-arm bandits.
Knowledge of generative AI and LLMs a plus
Expertise with one or more machine learning, deep learning, or statistical modeling tools such as R, scikit-learn, and JupyterLab.
Understanding of software architecture and database design, particularly in a large enterprise SaaS environment
Demonstrated record in shipping customer facing AI/ML powered applications at scale
Skilled in use of Python, SQL, Spark or other data management/manipulation tools
Passion for coaching and mentoring software developers and machine learning engineers.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $189,400 -- $357,900 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile - don't forget to include your uniquely 'Adobe' experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.
If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact
M60/P60
EMPLOYEE ROLE
Individual Contributor
The Opportunity
The Adobe Experience Platform (AEP) Architecture team is looking for a Principal Scientist, Machine Learning to help us both architect and build new intelligent features for our platform. You will join a group of Architects and Principal Scientists who are working to invent the future of customer experience software. Help create a platform that lets the world's leading brands engage in a hyper-personalized way with their customers.
What you'll do
Collaborate with the Product Management, Engineering and Research teams to select, implement, curate, and continuously improve AI/ML models for our enterprise SaaS platform
Use your expertise in Statistical Sciences and AI/ML to help build our new Knowledge Assistant, predictive models and experimentation frameworks
Build systems and practices for rapidly taking data science and ML from research to customer feature with the highest quality and safety Partner with Adobe Research to develop, refine and iteratively improve groundbreaking AI models
Participate in our Architecture Review Board to assure we design our software to the exacting standards of Adobe and our customers
Mentor individual contributors within the Adobe engineering and architecture organization
What you need to succeed
An MS or PhD degree in an analytical field such as: Statistics, Physics, Computer Science, Applied Mathematics etc. or equivalent experience
At least 10 years of experience in data science, AI/ML engineering or related role
Solid understanding of Statistical Learning Models (Regression, Classification, Tree Based Models, SVM, Neural Networks, Clustering, Time Series, Anomaly Detection).
Must have an excellent grasp of statistical inference methods (both Bayesian and Frequentist), in particular as related to hypothesis testing, including: experience with power and sample-size calculations, multiple hypothesis testing, non-parametric tests, and multi-arm bandits.
Knowledge of generative AI and LLMs a plus
Expertise with one or more machine learning, deep learning, or statistical modeling tools such as R, scikit-learn, and JupyterLab.
Understanding of software architecture and database design, particularly in a large enterprise SaaS environment
Demonstrated record in shipping customer facing AI/ML powered applications at scale
Skilled in use of Python, SQL, Spark or other data management/manipulation tools
Passion for coaching and mentoring software developers and machine learning engineers.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $189,400 -- $357,900 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile - don't forget to include your uniquely 'Adobe' experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.
If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact