Data Systems Engineer

Santa Clara Valley (Cupertino), California, United States


Role Number:200296045
The Video Engineering group is looking for a Data Systems Engineer with a strong emphasis on computer vision. This position will require collaboration with multiple teams (machine learning, cloud infrastructure support, user studies). We work on multiple, related projects requiring creativity and ingenuity. You will be able to demonstrate your skills and expertise as we work together to innovate. Responsibilities include specifying the technical details of the study, running the study, and facilitating the scaling of studies to larger scope when warranted. We are an unusual team in how we operate, and we are looking for creative engineers and anyone with room to grow to join us. We are unusual in the sense that our initial work was filling a gap between Algorithm teams, Quality Assurance (QA), and User Studies. Our team performed well and grew, so we could continue to be helpful to other Video Engineering teams and fill the gap. Do you think differently? Are you passionate about meaningful innovation? We often think, tinker, debate, and investigate fun problems with a high level of visibility. We also tackle a diversity of problems; as a result, work is entertaining and captivating.

Key Qualifications

  • Familiarity with machine learning and imaging technologies
  • Comfortable working with participants in different situations and putting them at ease
  • Solid organization skills and thorough
  • Meets and exceeds goals through careful planning, risk mitigation, and exception event handling
  • Is a nimble problem solver, driving time-sensitive strategic changes based on a mixture of analysis, experience, and collaboration with domain experts
  • Scripting for data gathering or inputting into databases is helpful


RESPONSIBILITIES - Collect needs from researchers and algorithm teams and develop technical strategies to gather the required data - Plan, resource and execute the data-gathering plan, and input into the database/infrastructure - Collaborate with multi-functional teams including Algorithm, Hardware, Software, Project Management, Legal, Procurement, Global Security, and Logistics to define and deliver necessary study elements - Drive process improvements across the organization to continuously improve the way we work

Education & Experience

Additional Requirements