Experience Requirements:

• Minimum 6 years of development experience, with at least two years as a machine learning engineer.

Responsibilities:

• Lead the translation of advanced research prototypes into scalable, production-grade software.

• Optimize the utilization of machine learning models, implementing techniques such as early stopping and optimization against adversarial attacks.

• Collaborate closely with data scientists to understand research findings and translate them into practical, scalable solutions.

• Design and implement efficient machine learning systems compatible with diverse data types and integrable with technologies like transformers.

• Drive ambitious projects through collaboration with cross-functional teams, ensuring seamless integration of machine learning technologies across our product suite.

Education Requirements:

• Completed a Master's degree in Computer Science, Mathematics, or a related field, with a published paper in a respectable journal or conference.

Experience Requirements:

• at least 3 years of experience working with computer vision models.

Responsibilities:

• Develop your SOTA: Our team is a pioneer in adversarial AI research with numerous studies under our belt. We will guide your research, development, and implementation of state-of-the-art (SOTA) models and techniques.

• Research and Development: Conduct research on adversarial attack and defense techniques for computer vision models. Explore state-of-the-art methods and propose innovative solutions.

• Collaboration: Work closely with team members, participate in brainstorming sessions, and contribute to the team's success.

• Generative Vision: You will help with the research and development of new generative vision pipelines, tackling various modalities and challenges.

Experience Requirements:

• Minimum of 3 years of experience in manual QA or related fields.

• Experience in identifying and documenting bugs, testing web applications, and working with development teams.

Responsibilities:

• Manually test front-end and back-end systems to ensure functionality, performance, and reliability.

• Collaborate daily with the product team and team leader to review, prioritize, and address reported bugs and system issues.

• Identify and document defects, working with developers to ensure timely resolution.

• Perform regression testing to validate that resolved issues remain fixed.

• Contribute to product design reviews by providing input on potential user experience issues or risks.