Senior Machine Learning Engineer

Summary

Join Abnormal Security as a Senior Machine Learning Engineer on the Account Takeover Detection team. You will significantly impact the team's direction and roadmap, defining the technical strategy to solve critical customer problems while maintaining operational excellence. This role requires expertise in machine learning, data science, and software engineering to design, develop, and implement robust production ML models and systems. You will lead algorithm development, collaborate with cross-functional teams, conduct data analysis, and work with engineers to productionize models. The ideal candidate possesses strong machine learning skills, experience with MLOps, and excellent communication abilities.

Requirements

• Proven experience as a Machine Learning Engineer or similar role
• Strong knowledge of machine learning algorithms, statistics, and predictive modeling
• Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow
• Experience with machine learning operations (MLOps) and productionization of ML models
• 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 complex technical ideas in a clear, non-technical manner

Responsibilities

• Lead the development of machine learning algorithms and models for behavioural modeling and cybersecurity attack detection
• Collaborate 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
• Actively monitor and improve production models through feature engineering, rules and ML modeling
• Participate in code reviews and ensure high quality and maintainability of ML systems
• Stay updated on the latest research in the field of machine learning, data science, and AI
• Contribute to the development of machine learning best practices within the organization
• Provide mentorship and guidance to junior team members

Preferred Qualifications

• 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 behavioural modeling techniques
• PhD or equivalent proven experience in ML research
• Familiarity with cloud computing platforms (AWS, Azure)