Sr. AI/ML Fraud Engineer

The Sr. AI Applied Scientist (Fraud Prevention):  drives experimental research and novel algorithm development to detect and predict emerging fraud trends. The candidate has an innovative approach with passion for fraud detection and prevention along with creativity in data visualization. The scientist will work with different partners across Adobe to develop outstanding fraud detection capabilities. 

What you'll Do 

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Develop LLM Agentic Workflow and ML models to predict and detect fraud from historical and emerging trends across various platforms and products.

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Automate manual workflows with AI to build efficiencies and scale up fraud reviews, investigations, and operational workflows. 

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Translate investigations and intel into root cause analysis to find opportunities for scale. 

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Lead experimental research to invent novel ML algorithms and LLM-based agentic workflows for fraud detection, pushing the state-of-the-art in the field.

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Design and validate new automation paradigms using state-of-the-art AI, driving the transfer of these research innovations into scalable operational processes.

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Conduct rigorous data analysis and experimentation to identify novel patterns, contributing to the scientific community through publications and patents.

What you need to succeed 
         

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Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative field is preferred.  A Master's degree with strong evidence of research activity (e.g., scientific publications in conferences like NeurIPS, ICML, AAAI, CVPR, IJCAI, ACL etc, patents, or equivalent applied research in industry) is also acceptable.

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6+ years of proven experience in data science, machine learning, with a focus on fraud detection or risk management in subscription-based businesses or financial services. 

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Expertise in AI and ML techniques, including LLM API, Agentic Framework, supervised and unsupervised learning, anomaly detection, and ensemble methods. 

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Proficiency in programming languages such as SQL, Python or R. 
Strong understanding of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) for handling large-scale datasets. 

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Deep research experience in Large Language Models (LLMs) and Agentic Workflows, with a proven track record of translating theoretical research into production-grade systems.

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Excellent communication and leadership skills, with the ability to collaborate effectively with cross-functional teams and drive alignment on fraud detection strategies. 

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Proven track record of leading complex AI/ML projects from conception to production deployment, delivering tangible business value. 

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Experience with fraud detection tools and platforms (e.g., fraud detection APIs, fraud management systems) is highly recommended. 

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call +1 408-536-3015. 

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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 position is $142,700 -- $270,950 annually. Pay within this range varies by work location and 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.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.