Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire Tablets, Fire TV, and Amazon Echo.
What will you help us create?
Amazon is seeking a highly motivated Lead to join our growing team. The LEad will need to learn quickly and execute the procedure accurately and capture and document any needed information associated to .
Be an expert in the processes
Troubleshoot and triage any technical issues during the collections and report as needed
Contribute to improvements in projects by identifying any issues, proposing enhancements in tools and working on continuous improvement of protocol and process.
Continuously evaluate existing tools and processes for temporary employee training and task management, and propose solutions to invent and simplify for efficiency and high-quality
Deliver high quality work under tight deadlines handling ambiguity
Manage day-to-day operations of the collections including logistics, resource/equipment planning, onsite vendor management, and reporting
Partner closely with Program Managers with minimum guidance on protocol/process development and schedule for existing and future collections
Communicate internally or externally to identify issues and propose solutions for long term sustainability of processes
Support several projects at one time and be able to re-prioritize as needed
. Work indoor/outdoor 3-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role)
. Lift 25lbs when needed
. May need to shift working hours or dates depending on the project needs
2+ years of experience in customer service, teaching, technical support, project management, processing, machine learning, or related field
Experience working in a corporate environment with professional work ethics
Experience managing people by influence and/or working directly with temporary staff.
Experience working with prototype assets
Experience in research or
Experience using MS Office, Excel, Mac OS, Confluence and Wiki tools
Practical knowledge of machine learning processing needs and trade-offs
Excellent communication, strong organizational skills and very detailed-oriented
Comfortable working in a fast paced, highly collaborative, dynamic work environment
A good sense of humor, a positive attitude, and great team work skills
Passion for , efficiency, and accuracy
Demonstrated proactive behavior in addressing issues and problems
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us