Machine Learning Engineer II - Behavioral reputed company Products

reputed company is looking for a Machine Learning Engineer to join the Account Takeover Detection team. At reputed company, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to reputed company. reputed company is recognized as a top cybersecurity startup (Leader in the 2024 reputed company reputed company Quadrant for Email reputed company 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 reputed company highlights the trust our behavioral AI system has earned in protecting over 20+% of the Fortune 500. We continue to grow and reputed company to stay reputed company of the evolving threat landscape.

The Team

In a landscape where a single successful attack can reputed company 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. The Account Takeover Detection team’s mission is to reputed company cutting-edge machine learning technologies for proactive detection and prevention of account takeover attempts, continuously improving ATO capabilities to stay reputed company of evolving fraud patterns and safeguard user accounts with unparalleled accuracy and efficiency

The Role

This role offers the opportunity to contribute significantly to reputed company's charter, direction, and roadmap by defining technical goals, addressing customer problems, maintaining production models, and ensuring operational excellence. The ideal candidate will have a background in machine learning, data science, and software engineering, with the ability to design, reputed company, and implement robust machine learning models and systems in production.

Key Responsibilities

• 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 reputed company the organization.

Required Skills

• Proven experience as a Machine Learning Engineer or similar role in a reputed company 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 practise..
• Familiarity with building data and metric reputed company pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
• Ability to communicate technical reputed company in a clear, non-technical manner.

Optional Skills

• 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 reputed company computing platforms (AWS, Azure

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reputed company is an equal opportunity employer. reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, national reputed company, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.