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Arkose Labs is a fraud deterrence and security platform company protecting global enterprises like Microsoft, Meta, and Roblox from spam, abuse, and AI-powered attacks. The company combines proprietary intelligence with dynamic friction to neutralize attacker ROI and was recognized as a Fast Company 2025 Best Workplace for Innovators.
As a Senior Machine Learning Researcher specializing in security, you will develop innovative ML and deep learning solutions to detect, prevent, and respond to security threats and fraud. You will conduct independent research, collaborate across cross-functional teams, and contribute to advancing the state of the art in ML-based security.
Key responsibilities include:
- Develop and implement ML and deep learning models to detect and mitigate security threats
- Create new product features using statistical and machine learning algorithms to identify bot and fraud traffic
- Conduct data cleaning, preprocessing, and exploratory data analysis; apply statistical methods to security-related data
- Stay current with latest research in ML and cybersecurity; publish findings in reputable journals and conferences
- Collaborate with security analysts, software engineers, and stakeholders to integrate ML solutions into security products
- Communicate complex technical concepts effectively to both technical and non-technical audiences
The role is based in Pune with a hybrid office model offering flexible working hours and work-from-home days.
REQUIREMENTS:
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field
- Proficiency in ML algorithms, neural networks, and model development
- Experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
- Strong coding skills in Python and R; familiarity with 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 (intrusion detection systems, firewalls, malware analysis tools)
- Strong analytical and problem-solving skills to identify and mitigate security threats using ML
- Understanding of network security, bot security, application security, and incident response
