AIML - Sr Engineering Program Manager, Data

Apple; Seattle (WA); On-site; USD 157,000 - 279,000; Full time

Job summary

Join a forward-thinking company as a Senior Engineering Program Manager in AI and Machine Learning, where you'll lead innovative data collection efforts that empower groundbreaking intelligent experiences. In this role, you will collaborate with diverse teams to ensure high-quality data collection, compliance with policies, and drive the roadmap for shared tooling. Your expertise will help shape the future of home and health technologies, making a positive impact on millions of users. If you're passionate about data and eager to take on challenges that drive innovation, this opportunity is perfect for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Discretionary bonuses

Qualifications

• 6+ years in project management with a focus on data collection for ML.
• Strong analytical skills and experience in metrics-driven projects.

Responsibilities

• Program manage data collections for machine learning initiatives.
• Collaborate with teams to optimize data collection methodologies.

Skills

Project Management

Data Collection for Machine Learning

Analytical Skills

Communication Skills

Data-Driven Decision Making

Education

BS in Statistics

MS in Computer Science

PhD in a Quantitative Field

Tools

Data Collection Tools

Job description

AIML - Sr Engineering Program Manager, Data

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Jan 09, 2025

Role Number: 200586320

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. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? We’re looking for people like you! As part of Apple’s AI and Machine Learning org, you will be developing new ML-powered sensing and intelligence capabilities for home, health, and more. This role will drive the collection of high-quality training data from consumer devices for a variety of ground-breaking use cases.

Description

You will program manage Research and Applied ML’s data collections:

1. Working with modeling teams to determine data collection requirements
2. Interfacing with our data operations teams to ensure completion and quality of collection and annotation

You will collaborate with teams and be the expert for many aspects of our data collections:

1. Data collection methodologies
2. Landscape of available data collection tools and infrastructure
3. Compliance with Apple’s legal, user consent, privacy and security policies as well as securing approvals
4. Data science to ensure sufficient representative data is collected
5. Interpreting evaluations and doing failure analysis on the collected data

You will also be responsible for scaling and optimizing our data collection efforts as a whole:

1. Driving the roadmap for shared tooling and infrastructure for data collections
2. Finding opportunities across modeling teams to share data and/or data collection efforts

Minimum Qualifications

1. 6+ years of experience in project or program management with prior experience in data collection for machine learning
2. Excellent program management skills including program structuring and managing multiple work streams interdependently with the capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment
3. Strong analytical skills and obsession for data, solid understanding of metrics measuring machine learning models and overall system quality
4. Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.
5. Strong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations

Preferred Qualifications

1. Prior PM or engineering experience in shipping products driven by machine-learned systems to worldwide users
2. BS, MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience

Pay & Benefits

At 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 $157,000 and $278,900, 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.

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.