Job Description

The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2023 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse.

Role Overview

As a Machine Learning Researcher specializing in security, you will apply your expertise in machine learning and cybersecurity to develop innovative solutions to detect, prevent, and respond to security threats and fraud. You will conduct independent research, collaborate with cross-functional teams, and stay abreast of the latest advancements in the field.

Key Responsibilities:

• Develop and implement ML and deep learning models to detect and mitigate security threats.
• Developing new product features using statistical/machine learning-based algorithms to identify bot and fraud traffic
• Conduct data cleaning, preprocessing, and exploratory data analysis. Apply statistical methods to analyze security-related data.
• Stay updated with the latest research and advancements in ML and cybersecurity. Publish research findings in reputable journals and conferences.
• Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions.
• Collaborate with security analysts, software engineers, and other stakeholders to integrate ML solutions into security products.
• Communicate complex technical concepts to both technical and non-technical stakeholders effectively.

Technical Skills:

• Bachelors, Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Minimum of 5 years of experience in Data Science, with substantial experience in AI/ML engineering
• Proficiency in ML algorithms, neural networks, and model development.
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong coding skills in Python, R, and familiarity with languages such as C++, Java, or Scala.
• Ability to perform data cleaning, preprocessing, and exploratory data analysis.
• Strong understanding of statistical methods and their applications.
• Familiarity with cybersecurity concepts, threat models, and common attack vectors.
• Experience with security tools and technologies (e.g., intrusion detection systems, firewalls, malware analysis tools).
• Strong analytical and problem-solving skills to identify and mitigate security threats using ML techniques.
• Understanding of network security, bot security, application security, and incident response.