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Lead AI/ML Engineer - Fraud

Adobe changes the world through digital experiences, providing tools for emerging artists to global brands to design and deliver exceptional digital experiences.
$145,600 - $276,400
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Cybersecurity
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Description For Lead AI/ML Engineer - Fraud

Adobe is seeking a Lead AI/ML Engineer to join their Fraud Team, focusing on developing cutting-edge artificial intelligence solutions to combat various forms of digital fraud. This role combines advanced machine learning expertise with practical security applications, making it ideal for those passionate about protecting digital experiences through technology.

The position requires a blend of technical expertise in AI/ML/DL/NLP and a deep understanding of fraud prevention. You'll be working with state-of-the-art technologies to develop real-time solutions that protect Adobe's users and platforms from sophisticated fraud attempts, including bot attacks, Account Takeover (ATO) incidents, phishing schemes, and product misuse.

As a Lead Engineer, you'll collaborate with cross-functional teams, including data scientists, security experts, and software engineers, to design and implement robust fraud detection systems. The role offers the opportunity to work with big data technologies and modern development tools while staying at the forefront of AI advancement in cybersecurity.

Adobe offers a competitive compensation package that varies by geographic location, with a salary range of $145,600 to $276,400 annually, plus additional benefits including equity awards and annual incentives. The company's commitment to changing the world through digital experiences and its focus on innovation makes this an exciting opportunity for someone looking to make a significant impact in the field of AI-driven fraud prevention.

The ideal candidate will bring 8+ years of data science experience, strong programming skills, and a proven track record in implementing AI-based fraud prevention strategies. This role represents a unique opportunity to work at the intersection of artificial intelligence and cybersecurity while contributing to the protection of Adobe's global user base.

Last updated 7 months ago

Responsibilities For Lead AI/ML Engineer - Fraud

  • Spearhead development and execution of AI/ML/DL/NLP strategy to combat fraudulent activities
  • Design sophisticated algorithms for fraud pattern identification
  • Research latest AI advancements to maintain robust fraud detection systems
  • Develop real-time solutions for user protection
  • Collaborate with data scientists, security experts, and software engineers

Requirements For Lead AI/ML Engineer - Fraud

Python
Java
  • Advanced degree (Masters or PhD.) in Computer Science, Data Science or related field, or Bachelors with relevant experience
  • Minimum of 8+ years of Data Science experience
  • Minimum of 3 years hands-on experience in developing AI, ML, DL, and NLP algorithms
  • Proven track record of successful implementation of AI-based strategies to combat online fraud
  • Deep understanding of online fraud activity, including bots, ATOs, phishing, theft, and misuse
  • Proficiency in programming languages such as Python, R, Java, SQL
  • Familiarity with Jira and Git workflows
  • Strong understanding of unit testing and CI/CD
  • Knowledge of containerization and orchestration tools (Docker and Kubernetes)
  • Experience with big data technologies (Databricks, Hadoop, Spark)

Benefits For Lead AI/ML Engineer - Fraud

Equity
  • Competitive salary based on geographic location
  • Annual Incentive Plan (AIP)
  • Long-term incentives in form of equity awards

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