AIML - Sr Engineering Program Manager, Siri Metrics & Evaluation Methods

at  Apple

Seattle, Washington, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jun, 2024USD 268200 Annual27 Mar, 2024N/AFunctional Management,Data Mining,Machine Learning,Teams,Statistics,Analytical Skills,Presentation Skills,User ExperienceNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

SUMMARY

Posted: Mar 22, 2024
Role Number:200544125
Imagine what you could do here. Are you passionate about driving the delivery of ground-breaking intelligent experiences? The Apple AIML org is building such experiences and the technologies that powers them…and we are looking for people like you! We are looking for an outstanding, customer focused AIML Senior Program Manager to support the insights and opportunity analyses for Siri - including the metrics and evaluation methods that measure them. All with the guiding goal of delivering the highest quality user experience that Apple customers expect and love. You have strong program experience with the data and techniques to measure end-to-end user experiences. You have a track record of driving large, complex cross-functional projects which are dependent on innovative data collection and machine learning technologies. You are data-driven, strong analytically and comfortable navigating ambiguity. Apple offers a collaborative work environment that fosters creativity and innovation. Become part of the team and play a key role in delivering and driving improvements to the Siri experience impacting over 1 billion customers.

KEY QUALIFICATIONS

  • 5+ years in Program or Project Management leading cross-functional data and software engineering teams and delivering end user facing technology products which are powered by machine learning
  • Strong analytical skills and a curiosity to discover opportunities for impact and a better user experience
  • Ability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment
  • Success in large organizations evangelizing and consensus-building using strong relationship and influence skills
  • Experience in working with teams to develop quality frameworks and defining success metricsStrong communication and presentation skills, written and verbal. Ability to collaborate with senior team leaders
-

DESCRIPTION

  • Drive the implementation and means to operationalize measurement and evaluation methods across the organization - Lead the process for finding opportunities and prioritize initiatives to hill climb on quality - Facilitate regular data insights and Siri metrics reviews with product teams and leadership - Ensure cross-functional alignment and communicate project / product updates to leadership - Collect inputs and requirements from key partners. Help define new approaches to metrics and methods - Work with data science and data engineering teams to develop success metrics and evaluation solutions - Work with annotation operation teams to optimize and lead human data collection and evaluation efforts - Work with engineering, privacy, and legal teams to develop safe data collection

EDUCATION & EXPERIENCE

BS/MS in EE/CS/CE or equivalent quantitative / engineering degrees.

ADDITIONAL REQUIREMENTS

  • Preferred:
  • BS/MS degree with a focus in machine learning, data mining or statistics
  • Prior product management experience in delivering end user facing technology products
  • Experience rolling out large scale tools and processes
  • Highly skilled at cross-functional management without authorityPast program management experience at a top technology company
-

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Engineering

Proficient

1

Seattle, WA, USA