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

Equal Opportunity Employer

Arkose Labs is an equal opportunity employer. We make all employment decisions, including hiring, promotion, pay, and termination, without regard to race (including traits historically associated with race, such as hair texture and protective hairstyles), color, religion or religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship or immigration status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability, medical condition, genetic information, reproductive health decisions, military or veteran status, or any other characteristic protected by the laws where we operate.

Arkose Labs will provide reasonable accommodations to qualified applicants and employees with disabilities, and for pregnancy, childbirth, and related conditions, and sincerely held religious beliefs, unless doing so would cause undue hardship. If you need an accommodation during the application or interview process, don't hesitate to get in touch with us.

We consider qualified applicants with criminal histories in a manner consistent with applicable laws, including the California Fair Chance Act.