AIML - Sr Engineering Program Manager, NLU Evaluation
Apple Inc
San Francisco, CA
Job posting number: #7282262 (Ref:apl-200568849)
Posted: September 19, 2024
Job Description
Summary
Apple 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.
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.
Description
In 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 solutions
- 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 solutions
Minimum Qualifications
- 6+ years of experience in project or program management shipping products driven by machine-learned systems to worldwide users
- Strong 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 standpoint
- Detailed understanding of testing, build and release processes for sophisticated software
- Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.
- Ability to communicate abstract ideas clearly and independently manage complex project objectives
- Strong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations and communication strategies
- Bachelors or Master’s degree in Computer Science or related field
Preferred Qualifications
- Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+) to accomplish
- Superior group facilitation, interviewing and influence skills
- Prior PM or engineering experience in machine learning, natural language understanding or search
- Knowledge in machine learning infrastructure and data pipeline, and/or model evaluation
- M.S. or Ph.D. degree with a focus in machine learning, data mining or statistics
