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Senior Machine Learning Researcher

arkoselabs · Pune, India · Pune, India
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<div class="content-intro"><p>Arkose Labs is on a mission to create an online environment where all consumers are protected from spam and abuse. As a Fast Company 2025 Best Workplace for Innovators, we provide a proactive fraud deterrence platform, Arkose Titan, designed to neutralize modern attacks powered by Agentic AI and LLMs. By combining proprietary intelligence with dynamic friction, we undermine attacker ROI to protect global giants like Microsoft, Meta, and Roblox. Headquartered in San Mateo, CA, we maintain a global presence across APAC, Central and South America, and EMEA.</p></div><p><strong>Position Overview:</strong></p> <p><span style="font-family: helvetica, arial, sans-serif;">As a Sr. 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.</span></p> <p><strong><span style="font-family: helvetica, arial, sans-serif;">Key Responsibilities:</span></strong></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Develop and implement ML and deep learning models to detect and mitigate security threats.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Developing new product features using statistical/machine learning-based algorithms to identify bot and fraud traffic</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Conduct data cleaning, preprocessing, and exploratory data analysis. Apply statistical methods to analyze security-related data.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Stay updated with the latest research and advancements in ML and cybersecurity. Publish research findings in reputable journals and conferences.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Collaborate with security analysts, software engineers, and other stakeholders to integrate ML solutions into security products.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Communicate complex technical concepts to both technical and non-technical stakeholders effectively.</span></li> </ul> <p><strong><span style="font-family: helvetica, arial, sans-serif;">Must Have:</span></strong></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Proficiency in ML algorithms, neural networks, and model development.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Strong coding skills in Python, R, and familiarity with languages such as C++, Java, or Scala.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Ability to perform data cleaning, preprocessing, and exploratory data analysis.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Strong understanding of statistical methods and their applications.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Familiarity with cybersecurity concepts, threat models, and common attack vectors.</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Experience with security tools and technologies (e.g., intrusion detection systems, firewalls, malware analysis tools).</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Strong analytical and problem-solving skills to identify and mitigate security threats using ML techniques.</span></li> <li style="font-family: helvetica, arial, sans-serif;">Understanding of network security, bot security, application security, and incident response.</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Experience with bot detection, device fingerprinting, behavioral biometrics, or real-time risk scoring.</li> <li>Experience with low-latency, high-throughput ML serving infrastructure.</li> <li>Familiarity with current ML r

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