[Hiring] Machine Learning Engineer II @Abnormal

Role Description

Abnormal AI is looking for a Machine Learning Engineer to join the Account Takeover Detection team. This role offers the opportunity to contribute significantly to our team's charter, direction, and roadmap by defining technical goals, addressing customer problems, maintaining production models, and ensuring operational excellence.

The Account Takeover Detection team’s mission is to leverage cutting-edge machine learning technologies for proactive detection and prevention of account takeover attempts, continuously improving ATO capabilities to stay ahead of evolving fraud patterns and safeguard user accounts with unparalleled accuracy and efficiency.

In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Account Takeover team (ATO) is at the forefront of customer protection, playing a central role in building systems that can detect malicious activity and protect customers from account takeovers.

What you will do

• Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
• Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions.
• Conduct exploratory data analysis, feature engineering, model development and evaluation.
• Work with infrastructure & product engineers to productionize models and new ML-based features.
• Monitor and improve production models through feature engineering, rules, and ML modeling as part of a team effort.
• Participate in code reviews to ensure the quality and maintainability of ML systems.
• Stay updated on the latest research in the field of machine learning, data science, and AI.
• Adopt and contribute to the development of machine learning best practices within the organization.

Qualifications

• Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).
• Knowledge of machine learning algorithms, statistics, and predictive modeling.
• Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow.
• Awareness of machine learning operations (MLOps) and productionization of ML models best practices.
• Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
• Ability to communicate technical ideas in a clear, non-technical manner.

Nice to Have

• Familiarity with LLMs.
• Previous experience in Cybersecurity.
• Previous experience with Airflow or similar ML pipeline orchestration tools.
• Experience with large scale ML system and data infrastructure.
• Previous experience in behavioral modeling techniques.
• PhD or equivalent proven experience in ML research.
• Familiarity with cloud computing platforms (AWS, Azure).

Company Description

Abnormal AI is recognized as a top cybersecurity startup (Leader in the 2024 Gartner Magic Quadrant for Email Security Platforms), securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024. Our 100% YoY growth in annual recurring revenue highlights the trust our behavioral AI system has earned in protecting over 20+% of the Fortune 500. We continue to grow and innovate to stay ahead of the evolving threat landscape.