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Job details
 
Company: Apple Inc.
Contact Name: Apple Inc.
URL: http://www.apple.com
 
Job Title: Siri Data Human Annotation Assets Lead
Job Category: Management
Job Reference: 200007330
Job description:  
Changing the world is all in a day's work at Apple. If you love innovation, here's your chance to make a career of it. You'll work hard. But the job comes with more than a few perks.

Job Summary:
Siri is a powerful product family that powers intelligence on many Apple hardware device categories, across many languages, and many use cases. As a machine learning based product, Siri relies on human annotation dataset creation as an asset to enable ongoing development and improvement to the Siri product experience. We’re looking for someone to lead business and program management for Human Annotation at Siri.

In this role, you will be responsible for establishing a process for requirement gathering, prioritization, budget allocation and management, budget management, and forecasting. You will also be responsible for managing the Human Annotation data assets built for use by engineering teams.

You will collect requirements from all engineering groups developing the Siri product, set up a process to vet those asks, improve them, establish leverage across dataset requirements, then establish a prioritization of the development of these data assets by the global human annotator workforce, and manage the execution of the creation of them. You will ensure that the data assets built are utilized by the product engineering teams, and that timelines are efficient and optimized. You will build a future roadmap for this data asset management.

Description:
* Establish process for requirement gathering, prioritization, budget allocation, budget management, and forecasting
* Lead roadmap, detailed execution of future human annotation programs as well as annual plus quarterly human annotation budget planning for Siri
* Manage allocation of human annotation resources across Siri teams, and define metrics to monitor our performance against those goals
* Partner with procurement and vendors to meet human annotation resource demand
* Liaise between Siri teams and annotation teams to ensure quality results
* Streamline a process for training engineering teams on how to ask for, set up and execute human annotation projects to build datasets needed for machine learning modeling work
* Partner closely with Siri engineering teams to gather requirements and understand priorities, to ensure we collect data that will inform and drive development of the product and user experience
* Communicate with and advocate to a wide audience of engineers, managers and executives
* Organize data sharing initiatives for Siri teams to improve utilization and value generation of our human grading data assets
* Establish efficacy and efficiency standard methodologies for human annotation at Apple
* Drive Apple wide initiatives to scale human annotation process (tooling and process)
Skills:  
Key Qualifications:
* 10+ years as an Engineering or Product Manager or Business Operations manager, or similar role leading cross functional teams
* Proven capability to set direction and work across a large number of partners to establish operating procedures, enforce process and drive efficient outcomes
* Self-motivated and dedicated with demonstrated process optimization capabilities required to set a path to success
* Great attention to detail and organized
* Outstanding communication and presentation skills, written and verbal, to all levels of an organization
* Working across teams to collect requirements, document, prioritize
* Managing execution of complex projects
* Reporting on progress, priorities, timelines, and risks, at different levels (Executive, Product teams)
* Capital planning, budgeting and finance management
* Setting up training/evangelization
* Building processes and tools to track and visualize progress against goals, and utilization of assets, accessible to engineers and executives.
* Building a new program/process from the ground up including defining requirements, driving agreements from multiple teams and executing towards a successful completion
* Working with engineering teams
* Working in a technology company, especially with machine learning based products
* Leading large scale human annotation efforts or working on ML projects that involve large scale data collection of this type
* Working with vendors or in vendor management

Education:
BA/BS, MA/MS or PhD in Computer Science, Computer Engineering, Statistics, Economics, Information Science, Linguistics, Communication Studies, or related fields/experiences
Preferred: Masters in Business Administration

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Employment type:
  • Full Time
Salary Range: Unspecified
Job Link: You must first register to view this information.
 
Other Information
 
Degree: Bachelors
Experience (year): 10
Job Location: Cupertino - California - USA
Zipcode: 95014
 
Post Date: 01/09/2019
 
Contact Information
 
Company: Apple Inc.
Contact Name: Apple Inc.
 


 
       

 
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