Job Description
Arkose Labs
Data Scientist
Full -Time
Pune, India
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 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, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse.
Any Degree
Fresher / experienced
1. Bachelors, Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
2. 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.
3. Knowledge in machine learning, deep learning, and Computer Vision.
4. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
5. Familiarity with data processing tools, such as Pandas and NumPy.
6. Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges.
7. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
8. Passion for learning and staying up-to-date with the latest advancements in machine learning, and Computer Vision.
9. Self-motivated, detail-oriented, and able to work through ambiguity.
10. Desire to take ownership of projects and contribute to a positive, collaborative, and inclusive team culture
1. Assist in the development, implementation, and optimization of machine learning models and algorithms for Object Detection and Computer Vision applications.
2. Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions.
3. Conduct research on cutting-edge techniques and tools in machine learning and Computer Vision.
4. Participate in the evaluation of model performance and contribute to improvements ensuring accuracy and efficiency.
5. Document and present project progress, findings, and insights to both technical and non-technical stakeholders.
Competitive salary + Equity
Beautiful office space with many perks
Robust benefits package
