The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2023 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and the largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, Malaysia and Argentina. Arkose Labs protects enterprises from cybercrime and abuse
Job Summary
As a Data Scientist , you will work closely with cross-functional teams, including Technical Artists, Software Engineering, and Product Management, to develop machine learning and computer vision models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
What you’ll work on:
- Assist in the development, implementation, and optimization of machine learning models and algorithms for Object Detection and Computer Vision applications.
- Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions.
- Conduct research on cutting-edge techniques and tools in machine learning and Computer Vision.
- Participate in the evaluation of model performance and contribute to improvements ensuring accuracy and efficiency.
- Document and present project progress, findings, and insights to both technical and non-technical stakeholders.
What we’re looking for:
- Bachelors, Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Solid knowledge of classical and latest computer vision models including thorough knowledge of models like YOLO, FasterRCNN etc as well as transformer based models like ViT, BLIP etc.
- Knowledge in machine learning, deep learning, and Computer Vision.
- Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with data processing tools, such as Pandas and NumPy.
- Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Passion for learning and staying up-to-date with the latest advancements in machine learning, and Computer Vision.
- Self-motivated, detail-oriented, and able to work through ambiguity.
- Desire to take ownership of projects and contribute to a positive, collaborative, and inclusive team culture
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.
Top Skills
What We Do
Arkose Labs bankrupts the business model of fraud. Our innovative approach determines true user intent and remediates attacks in real-time. Risk assessments combined with interactive authentication challenges undermine the ROI behind attacks, providing long-term protection while improving good customer throughput. Backed by Microsoft, PayPal, SoftBank and Wells Fargo, Arkose Labs is hailed by customers as a user-friendly solution to an ever-evolving fraud landscape.
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