Overview
On Site
USD 140,100.00 - 286,600.00 per year
Full Time
Skills
Machine Learning (ML)
Natural language processing
Large Language Models (LLMs)
Artificial intelligence
Deep learning
Real-time
Computer science
Data Science
Programming languages
Problem solving
Big data
Fraud
Strategy
Algorithms
Design
Research
Pivotal
Data
FOCUS
Python
R
Java
Communication
Partnership
Collaboration
Cyber security
Databricks
Apache Hadoop
Apache Spark
Job Details
JOB LEVEL
M50
EMPLOYEE ROLE
People Manager
The Opportunity
As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities. These activities include bot attacks, account takeover (ATO) incidents, phishing schemes, theft, and product misuse.
What you'll Do
In this role, you will tap into your expertise in computational analysis, engineering, and algorithm design to identify and thwart patterns of fraud and abuse. You will be engaged in researching the latest advancements in AI, ML, DL, NLP, LLMs, and multi-agent systems to enhance the robustness of our fraud detection capabilities. Your contributions will be pivotal in developing real-time solutions that protect our users and uphold the integrity of our platform. Collaborating closely with other data scientists, security experts, and software engineers, you will play a key role in fostering a secure digital environment. This position is a unique opportunity to employ ground breaking technologies to address the challenges of online fraud.
What you need to succeed
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 $140,100 -- $286,600 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
M50
EMPLOYEE ROLE
People Manager
The Opportunity
As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities. These activities include bot attacks, account takeover (ATO) incidents, phishing schemes, theft, and product misuse.
What you'll Do
In this role, you will tap into your expertise in computational analysis, engineering, and algorithm design to identify and thwart patterns of fraud and abuse. You will be engaged in researching the latest advancements in AI, ML, DL, NLP, LLMs, and multi-agent systems to enhance the robustness of our fraud detection capabilities. Your contributions will be pivotal in developing real-time solutions that protect our users and uphold the integrity of our platform. Collaborating closely with other data scientists, security experts, and software engineers, you will play a key role in fostering a secure digital environment. This position is a unique opportunity to employ ground breaking technologies to address the challenges of online fraud.
What you need to succeed
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- 10 years of experience in Data Science, with substantial experience in AI/ML engineering.
- A minimum of 5 years as a people manager
- A minimum of 3 years of experience in developing AI, ML, DL, NLP, LLM, and multi-agent algorithms, with a focus on fraud detection and prevention.
- Proven track record of successful implementation of AI-based strategies, including LLMs and multi-agent systems, to combat online fraud.
- In-depth understanding of online or software fraud activities, including bots, ATOs, phishing, theft, and misuse.
- Proficiency in programming languages such as Python, R, Java, or similar, with an emphasis on engineering principles.
- Exceptional problem-solving skills and the ability to think critically and innovatively.
- Excellent communication and partnership skills for effective multi-functional collaboration.
- Commitment to staying updated with the latest research and trends in AI, ML, DL, NLP, cybersecurity, LLMs, and multi-agent systems.
- Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus.
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 $140,100 -- $286,600 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