Position:
- Data Scientist (Computer Vision)
Company:
- Arkose Labs
Location:
- Pune, India
Job Type:
- Full-time
Job Mode:
- Hybrid (Remote & On-site)
Job Requisition ID:
- Not specified
Years of Experience:
- Not specified (open to candidates with Bachelors, Masters, or PhD in relevant fields)
Company Description:
- Arkose Labs is a leading provider in the field of bot detection and mitigation, recognized as the 2023 Leader in the space by G2. The company’s AI-powered platform offers robust solutions designed to protect enterprises from online fraud and abuse. Arkose Labs has gained significant trust globally, with 20% of its customers being Fortune 500 companies. The company's security measures include the world’s first $1M warranties for issues like credential stuffing and SMS toll fraud.
- Headquartered in San Mateo, CA, Arkose Labs has a global presence with employees stationed in London, Costa Rica, Australia, India, and Argentina. Their vision is centered on creating a secure online environment where all users are protected from cyber threats. With a customer-first focus, Arkose Labs enhances user throughput and disrupts online attacks with dynamic risk assessments. They have successfully maintained the highest score in customer satisfaction and boast an extensive market presence.
Profile Overview:
- As a Data Scientist specializing in Computer Vision, you will collaborate closely with cross-functional teams such as Technical Artists, Software Engineers, and Product Managers to design, implement, and maintain machine learning and computer vision models.
- The primary responsibility is to support the development of advanced models for Object Detection and Computer Vision applications. In this role, you will also have the opportunity to conduct research on cutting-edge techniques and present findings to both technical and non-technical stakeholders.
- Your role will involve working on optimizing models and algorithms, ensuring that performance levels meet the highest standards of accuracy and efficiency. Regular collaboration with multiple teams is essential to fully understand project requirements and deliver successful outcomes.
- Continuous learning is a critical aspect of this position, as you will need to stay updated on the latest advancements in Machine Learning, Deep Learning, and Computer Vision technologies. Moreover, you will play an integral role in documenting progress and sharing insights to ensure project transparency.
Qualifications:
- Educational Requirements:
- Bachelors, Masters, or PhD in fields like Computer Science, Machine Learning, Artificial Intelligence, or related disciplines.
- Technical Skills:
- In-depth knowledge of classical and modern Computer Vision models, including models such as YOLO, FasterRCNN, ViT, and BLIP.
- Proficiency in Python is essential, along with hands-on experience with frameworks like TensorFlow, PyTorch, or Keras for machine learning model development.
- Strong familiarity with data processing tools such as Pandas and NumPy.
- Experience in Machine Learning:
- A robust understanding of Machine Learning, Deep Learning, and Computer Vision techniques is required.
- Problem-Solving Abilities:
- Strong analytical and creative problem-solving skills are necessary to address complex challenges that arise during the development of models.
- Communication & Team Collaboration:
- Excellent verbal and written communication skills are required to work effectively in cross-functional teams. You will need to explain technical concepts clearly to both technical and non-technical stakeholders.
- Self-Motivation:
- A self-driven attitude and the ability to manage ambiguity while maintaining attention to detail is important for success in this role.
- Ownership & Accountability:
- A desire to take full ownership of projects and contribute positively to team culture by fostering collaboration, inclusion, and constructive feedback.
Additional Info:
- Collaborative Environment:
- Arkose Labs provides a technology-driven ecosystem where you will engage with influential global enterprises like Microsoft, Roblox, OpenAI, and many others. In this role, you will partner with these brands to tackle some of the most challenging technical issues related to cyber fraud prevention, impacting millions of users worldwide.
- Why Professionals Choose Arkose Labs:
- Cutting-Edge Technology: The company's solutions are highly effective and backed by warranties, attracting top-tier clients across the globe.
- Culture of Innovation & Excellence: Arkose Labs fosters a culture that emphasizes innovation in technology and excellence in execution, ensuring a thriving and balanced work environment.
- Experienced Leadership: The company's leadership team has deep expertise in technology and a history of successful growth, making Arkose Labs a stable and progressive organization to be part of.
- Ideal Company Size: With a structure designed to be agile, Arkose Labs offers a balance between stability and adaptability, making it large enough to offer stability but small enough to ensure that every employee’s voice is heard and valued.
- Global Impact:
- Arkose Labs works with some of the world’s most recognizable brands, including OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir. These partnerships provide a unique opportunity to make a global impact by solving critical security challenges that affect a broad user base.
- Commitment to Diversity:
- The company highly values diverse perspectives, contributions, and experiences, fostering a culture of collaboration, inclusion, and excellence. Professional development is a priority, with the company offering support for continuous education and growth.
- Company Values:
- People: The company’s most valuable resource, employees at Arkose Labs are empowered to make data-driven decisions and are accountable for their actions.
- Teamwork: Respect, integrity, and open communication are central to the company culture, with a focus on constructive feedback and a positive, solution-oriented attitude.
- Customer Focus: A deep understanding of customer needs drives innovation and problem-solving at Arkose Labs, with a relentless focus on delivering solutions that address customer challenges.
- Precision & Professionalism: Every task is executed with a high level of professionalism, urgency, and a focus on precision to ensure successful outcomes.
- Security: Security remains at the core of all processes and procedures, ensuring that Arkose Labs continues to be a trusted name in the industry.
Benefits:
- Compensation:
- A competitive salary package, including equity, is offered.
- Office & Perks:
- Employees enjoy working in a beautiful office space that comes with a range of perks.
- Health & Wellness:
- Arkose Labs offers a comprehensive benefits package that includes Accident Insurance and coverage through a Provident Fund.
- Work-Life Balance:
- The company supports flexible working hours, including work-from-home options to promote personal well-being and mental health.
Equal Opportunity Employer:
- Arkose Labs takes pride in being an Equal Opportunity Employer. The company makes all employment decisions based on merit and qualifications, without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or any other characteristic protected by applicable law.
- Additionally, the company is committed to providing reasonable accommodations for qualified individuals with disabilities, ensuring that all employees have the opportunity to contribute and succeed.
Please click here to apply.
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