Machine Learning Research Manager

Position Overview: 

Arkose Labs is seeking a highly skilled and experienced Machine Learning Research Manager specializing in security to join our team in Pune, India. The ideal candidate will have a strong background in Data Science and AI/ML research, with a specific focus on fraud detection and prevention. This role requires a seasoned professional with proven leadership abilities and a commitment to advancing the field of machine learning in the context of cybersecurity.

Key Responsibilities:

• Lead and manage a team of data scientists and machine learning researchers focused on developing advanced models for fraud detection and prevention.
• Design, develop, and implement machine learning strategies to combat account takeover (ATO) and various forms of online fraud.
• Collaborate with cross-functional teams to integrate ML solutions into Arkose Labs' security products and services.
• Conduct in-depth analysis of fraud activities, including bots, phishing, and ATOs, to inform the development of robust ML models.
• Stay abreast of the latest research and trends in AI, ML, deep learning, natural language processing, cybersecurity, large language models, and multi-agent systems.
• Utilize programming languages such as Python, R, Java, or similar to develop and deploy ML solutions, emphasizing strong engineering principles.
• Ensure the effective use of big data technologies and tools in the development and deployment of ML models.
• Foster a culture of continuous learning and improvement within the team, encouraging innovation and excellence in problem-solving.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum of 10 years of experience in Data Science, with substantial experience in AI/ML engineering.
• At least 5 years of experience as a people manager, with a proven track record of leading and mentoring teams.
• Minimum of 3 years of hands-on experience in developing machine learning models with a focus on fraud detection and prevention.
• Proven track record of successful implementation of ML-based strategies to combat ATO and fraud.
• In-depth understanding of online or software fraud activities, including bots, ATOs, phishing, etc.
• Proficiency in programming languages such as Python, R, Java, or similar, with a strong emphasis on engineering principles.
• Exceptional problem-solving skills and the ability to think critically and innovatively.
• Excellent communication and partnership skills for effective multi-functional collaboration.
• Commitment to staying updated with the latest research and trends in AI, ML, DL, NLP, cybersecurity, LLMs, and multi-agent systems.
• Experience with big data technologies and tools is a plus.
• Excellent analytical and leadership skills.

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, OpenAI, 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 OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir.

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
• 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.

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