--- title: 'Senior Machine Learning Researcher at Arkose Labs' canonical: 'https://feeny.ai/job/senior-machine-learning-researcher-arkose-labs-pune-jzk45zjdyzay' type: 'job' last_seen: '2026-10-16' --- # Senior Machine Learning Researcher at Arkose Labs - **Company:** Arkose Labs - **Location:** Pune, India - **Posted:** 2026-10-01 - **Last confirmed live:** 2026-10-16 - **Apply:** https://job-boards.greenhouse.io/arkoselabs/jobs/8011129003 ## Job description 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. Position Overview: 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. 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. Must Have: - Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - 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. ## Nice to Have - Experience with bot detection, device fingerprinting, behavioral biometrics, or real-time risk scoring. - Experience with low-latency, high-throughput ML serving infrastructure. - Familiarity with current ML research relevant to fraud/security (e.g., following or contributing to arXiv publications in adversarial ML, anomaly detection, or graph learning). - Experience scaling researcher productivity using Agentic AI. Why Arkose Labs? At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, and more. We’re not just a company; we’re a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe. Why do top tech professionals choose Arkose Labs? Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients.Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment.Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events.Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas. Join us in shaping the future of technology. At Arkose Labs, you’re not just an employee; you’re part of a visionary team driving global change The most recognizable brands in the world select Arkose Labs, including Roblox, Microsoft, Adobe, Expedia, Snap and Meta. We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education. We value: - People: first and foremost they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do. - Team Work. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another - Customer Focus. We empathize with our customers and obsess about solving their problems - Execution with precision, professionalism and urgency - Security. It’s the lens through which we implement our processes, procedures, and programs Benefits: - Competitive salary + Equity - Beautiful office space with many perks - Robust benefits package - Provident Fund - Accident Insurance - Hybrid office model with flexible working hours and work from home days to support personal well-being and mental health Arkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities. #LI-Hybrid #LI-Midsenior ## About Arkose Labs ## Company Overview - **One-liner**: Arkose Labs is a cybersecurity company that provides a proactive fraud deterrence and bot management platform called Arkose Titan, which uses dynamic challenges and risk-based profiling to protect enterprises from automated attacks, fraud farms, and malicious AI agents. - **Entity Type**: Private (Growth-stage, backed by leading capital) - **Headquarters**: San Mateo, California, USA (with global offices in San Francisco, Brisbane, London, San Jose (Costa Rica), Amsterdam, Pune, Bengaluru, Buenos Aires, and Kuala Lumpur) - **Founded**: Year not explicitly stated, but the company has grown to a global team with significant recognition. - **Founders**: Kevin Gosschalk (Founder & CEO) ## Core Business - **Primary industry/industries**: Cybersecurity (Fraud Prevention, Bot Detection, Account Security) - **Target customers**: B2B — Large enterprises, banks, gaming platforms, fintechs, marketplaces, and the world's largest consumer-facing brands (e.g., two of the top three banks, Microsoft, Meta, Roblox). - **Mission or purpose statement**: "To create an online environment where every consumer is protected from malicious activity." ## Products & Services - **[Arkose Titan™]**: The core unified platform that coordinates bot detection, email intelligence, device ID, and fraud farm protection. It classifies every user and AI agent by intent, enabling legitimate automation while stopping adversarial activity. It uses dynamic, user-friendly challenges (4th, 5th, 6th-gen) to drain attacker ROI. Type: SaaS Platform. ## Market Standing - **Valuation/Market Cap**: Not publicly available (Private company). - **Key Metric**: Total Funding - Not explicitly stated in provided data, but the company is backed by "leading capital and strategic partners." - **Notable Investors/Partners**: Not explicitly named in provided data, but the company is recognized by Deloitte (Technology Fast 500), Inc. Magazine (Fastest-Growing Private Companies), and Fast Company (Next Big Thing in Data & AI). - **Growth Signals**: - Recognized on the Deloitte Technology Fast 500. - Named the "Next Big Thing in Data & AI" by Fast Company. - G2 Winter 2025 Leader, Easiest to Do Business With, and Easiest Setup. - 100B+ threat decisions per year. - 500+ enterprises protected. - 10 global office hubs with 24/7 SOC coverage. - Actively disrupting organized fraud networks like Storm-1152. ## Competitive Advantages - **Unified Platform**: Coordinates bot detection, email intelligence, device ID, and fraud farm protection into one system, rather than disparate tools. - **Offensive Protection**: Actively drains attacker ROI by introducing dynamic friction, making attacks economically unviable, not just passively blocking. - **Agent Trust & Control**: Specifically classifies AI agents by intent, a critical capability for the era of agentic AI and LLMs. - **Embedded SOC**: A dedicated 24/7 Security Operations Center that tunes protection and provides actionable insights, not a ticket queue. - **Advanced Challenges**: Employs 4th, 5th, and 6th-generation challenges that defeat bots, AI agents, and fraud farms, going beyond basic CAPTCHAs. ## Strategic Focus - **Agentic AI Era**: A core focus is on classifying and controlling AI agents, enabling "agentic commerce" while stopping adversarial AI. - **Global Expansion**: Maintaining and growing a global presence with 10 hubs across APAC, Central America, EMEA, and South America to provide 24/7 support and engineering coverage. - **Enterprise Dominance**: Continuing to protect the world’s largest enterprises and consumer brands from sophisticated cybercrime. ## Why Work Here - **Mission-Driven**: Join a team with a clear, impactful mission to make the internet safer from bots, AI agents, and human fraud networks. - **Global & Remote-Friendly**: Flexible work arrangements with remote-friendly options and collaborative office spaces worldwide. Open roles across San Francisco, Brisbane, London, San Jose (Costa Rica), and more. - **Strong Culture**: Values include integrity, excellence, respect, inclusion, collaboration, customer obsession, and execution. Described as collaborative, curious, and driven. - **Benefits & Perks**: Generous PTO, paid holidays, parental leave, competitive compensation with equity options, comprehensive healthcare (medical, dental, vision), and professional development stipends. - **Innovative Environment**: Work on hard problems at the cutting edge of cybersecurity and AI, with a focus on continuous learning and attending industry conferences. ## Sources 1. [arkoselabs.com](https://www.arkoselabs.com/) 2. [arkoselabs.com/careers](https://www.arkoselabs.com/careers) 3. [arkoselabs.com/about-us](https://www.arkoselabs.com/about-us) 4. [job-boards.greenhouse.io/arkoselabs](http://job-boards.greenhouse.io/arkoselabs) 5. [arkoselabs.com/leadership](https://www.arkoselabs.com/leadership) ## Other roles at Arkose Labs - [Senior Manager, Machine Learning](https://feeny.ai/job/senior-manager-machine-learning-arkose-labs-pune-4y8sd0yv3k6w) — Pune, India - [Senior Machine Learning Researcher](https://feeny.ai/job/senior-machine-learning-researcher-rtb-house-warsaw-masovian-voivodeship-t6karrhgthpz) — Warsaw Masovian Voivodeship, Poland