Lead AI/ML Engineer - Fraud

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

As a Lead Data Science Engineer AI/ML on the Fraud Team, you will be responsible for spearheading the development and execution of an innovative Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) strategy to combat various fraudulent activities, including bot attacks, Account Takeover (ATO) incidents, phishing schemes, theft, and product misuse.

What You'll Do:

You will apply your expertise in computational analysis to design sophisticated algorithms that identify patterns of fraud and abuse effectively. This role involves researching the latest advancements in AI and ML to maintain the robustness of our fraud detection systems. Your work will contribute to the development of real-time solutions that protect our users and ensure the integrity of our platform. Collaborating closely with other data scientists, security experts, and software engineers, you will help shape a secure digital environment. This position is a unique opportunity to utilize cutting-edge technology to confront online fraudulent activity.

What You Need to Succeed:

• Advanced degree (Masters or PhD.) in Computer Science, Data Science in related field or Bachelors in Computer Science, Data Science, or a related field; with relevant work experience.
• Minimum of 8+ years of Data Science experience
• A minimum of 3 years of hands-on experience in developing AI, ML, DL, and NLP algorithms and applications, with a particular focus on fraud detection and prevention.
• Proven track record of successful implementation of AI-based strategies to combat online fraud and abuse.
• Deep understanding of online fraud activity, including bots, ATOs, phishing, theft, and misuse.
• Proficiency in programming languages such as Python, R, Java, SQL or similar; and use of semi/unstructured data
• Familiarity with Jira and Git workflows for project management and version control.
• Strong understanding of unit testing and end-to-end testing methodologies and practices with CI/CD.
• Ability to decompose complex user stories into clear, well-defined tasks.
• Knowledge of containerization and orchestration tools, particularly Docker and Kubernetes.
• Strong problem-solving skills and ability to think critically and innovatively.
• Excellent communication and teamwork skills for effective cross-functional collaboration.
• Ability to stay updated with the latest research and trends in AI, ML, DL, NLP, and cybersecurity.
• Strong understanding and Experience with big data technologies and tools, such as Databricks, Hadoop, Spark, etc., 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 position is $140,200 -- $267,600 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.

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