Arkose Labs is on a mission to create an online environment where all consumers are protected from spam and abuse. As a Quick 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.
The Role
We’re hiring a Machine Learning Research Manager to lead our ML team and set the technical direction for how machine learning is applied across Arkose’s fraud detection and risk-scoring products. This is a builder-manager role: you’ll grow and coach a small, high-leverage team while staying hands-on with model design, architecture decisions, and code review. You’ll own the connection between fraud outcomes — detection accuracy, false positive rates — and the ML systems that drive them.



This role will report to the SVP of Product.
What You’ll Do
Define and drive Arkose’s Data Science and Machine Learning roadmap across Arkose Titan by aligning research with product priorities.
Lead development and delivery of ML models and capabilities that power real-time fraud and risk decisioning at Arkose’s scale, in collaboration with detection engineering to turn emerging fraud patterns into features and models.
Establish modern MLOps practices — model governance, experimentation frameworks, and end-to-end model lifecycle management — and own model performance in production, including precision/recall tradeoffs, drift monitoring, retraining cadence, and latency/cost constraints.
Drive applied research in graph machine learning, behavioral analytics, and intelligent fraud detection systems — resulting in patents, publications, and product innovation.
Manage, coach, and grow a team of ML researchers, including performanc

📌 Machine Learning Director (Pune)
🏢 Arkose Labs
📍 Pune