AIML - Sr Engineering Program Manager, NLU Evaluation at Apple
San Francisco, CA
About the Job
SummaryPosted: Role Number:200568849Apple is where individual imaginations gather together, committing to the values that lead to great work
Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger
That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better
It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do
When we bring everybody in, we can do the best work of our lives
Here, you’ll do more than join something — you’ll add something.
We’re looking for a strong Engineering Program Manager who will lead cross functional, large scale Natural Language Understanding technologies for Apple products, such as Siri
This individual needs a solid track record building and maintaining complex software and machine learning models, establishing and implementing evaluation process that ensure delightful end-to-end user experiences.DescriptionIn this role, you will:
- Build and run project timelines with clear dependencies, critical path and systematic methodology to communicate status
- Handle risks and mitigations, and re-plan as events warrant
Drive alignment across the organization and between teams
- Partner with cross-functional engineering teams to define human annotation requirements vital to launch and maintain premier Apple software products
- Drive on time delivery and deployment, identifying development and feasibility needs, establishing achievements for checkpoints and status updates
- Work with data science and data engineering teams to develop data collection and ML model 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
- Work with research teams to develop long-term evaluation solutionsMinimum Qualifications6+ years of experience in project or program management shipping products driven by machine-learned systems to worldwide usersStrong analytical skills and obsession for data, solid understanding of metrics measuring machine learning models and overall system quality; skilled at measuring impact from user experience standpointDetailed understanding of testing, build and release processes for sophisticated softwareDemonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.Ability to communicate abstract ideas clearly and independently manage complex project objectivesStrong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations and communication strategiesBachelors or Master’s degree in Computer Science or related fieldPreferred QualificationsHave personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+) to accomplishSuperior group facilitation, interviewing and influence skillsPrior PM or engineering experience in machine learning, natural language understanding or searchKnowledge in machine learning infrastructure and data pipeline, and/or model evaluationM.S
or Ph.D
degree with a focus in machine learning, data mining or statisticsPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range
This provides the opportunity to progress as you grow and develop within a role
The base pay range for this role is between $165,500 and $293,800, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation
Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity
We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics
Learn more about your EEO rights as an applicant.
Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger
That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better
It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do
When we bring everybody in, we can do the best work of our lives
Here, you’ll do more than join something — you’ll add something.
We’re looking for a strong Engineering Program Manager who will lead cross functional, large scale Natural Language Understanding technologies for Apple products, such as Siri
This individual needs a solid track record building and maintaining complex software and machine learning models, establishing and implementing evaluation process that ensure delightful end-to-end user experiences.DescriptionIn this role, you will:
- Build and run project timelines with clear dependencies, critical path and systematic methodology to communicate status
- Handle risks and mitigations, and re-plan as events warrant
Drive alignment across the organization and between teams
- Partner with cross-functional engineering teams to define human annotation requirements vital to launch and maintain premier Apple software products
- Drive on time delivery and deployment, identifying development and feasibility needs, establishing achievements for checkpoints and status updates
- Work with data science and data engineering teams to develop data collection and ML model 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
- Work with research teams to develop long-term evaluation solutionsMinimum Qualifications6+ years of experience in project or program management shipping products driven by machine-learned systems to worldwide usersStrong analytical skills and obsession for data, solid understanding of metrics measuring machine learning models and overall system quality; skilled at measuring impact from user experience standpointDetailed understanding of testing, build and release processes for sophisticated softwareDemonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.Ability to communicate abstract ideas clearly and independently manage complex project objectivesStrong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations and communication strategiesBachelors or Master’s degree in Computer Science or related fieldPreferred QualificationsHave personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+) to accomplishSuperior group facilitation, interviewing and influence skillsPrior PM or engineering experience in machine learning, natural language understanding or searchKnowledge in machine learning infrastructure and data pipeline, and/or model evaluationM.S
or Ph.D
degree with a focus in machine learning, data mining or statisticsPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range
This provides the opportunity to progress as you grow and develop within a role
The base pay range for this role is between $165,500 and $293,800, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation
Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity
We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics
Learn more about your EEO rights as an applicant.
