Job Description

Locations

• Sunnyvale, California, United States 94085

Salary

Skills Required

• developing algorithms for human understanding and human intelligence applicationsintermediate
• adapt state-of-the-art algorithmsintermediate
• design and implement new algorithmsintermediate
• collaborate with others to drive requirements and validation testsintermediate
• problem solvingintermediate
• adapt to an evolving environmentintermediate
• deliver clean, modular, testable algorithm codeintermediate
• communicate and work effectively with cross-functional partnersintermediate
• highly-motivatedintermediate
• take initiative to achieve goalsintermediate
• deliver on scheduleintermediate
• sense of curiosityintermediate
• willingness to learn new thingsintermediate
• works well in a collaborative settingintermediate

Required Qualifications

• BS and a minimum of 3 years relevant industry experience (experience, 3 years)
• Software engineering skills and proficiency in Python and PyTorch. (experience)

Preferred Qualifications

• MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. (degree in phd in computer vision)
• Comprehensive understanding of diffusion models, transformers and auto-encoders. (experience)
• Capable of making well-informed and practical decisions in a rapidly evolving environment. (experience)
• Excellent communication and experience working with multi-functional teams. (experience)
• Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule. (experience)
• Good software engineering skills and proficiency in C/C++. (experience)

Responsibilities

• We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.
• Responsibilities include but not limited to:
• - Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.
• - Collaborate with others to drive requirements and validation tests to ship models.
• - Take a practical approach to problem solving and adapt to an evolving environment.
• - Deliver clean, modular, testable algorithm code.
• - Communicate and work effectively with cross-functional partners.
• The ideal candidate should possess the following qualities:
• - Be highly-motivated and take initiative to achieve goals, while delivering on schedule.
• - Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.
• - Works well in a collaborative setting.

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