AIML - Sr Engineering Program Manager, Innovation

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

Job summary

An established industry player is seeking a Senior Engineering Program Manager to drive innovative machine learning projects. In this pivotal role, you will oversee cross-functional teams, ensuring alignment and quality in delivering features that impact billions of users. Your expertise in program management and machine learning will be crucial in crafting exceptional user experiences. Join a collaborative environment where your skills will help shape the future of technology and customer interaction. This is a unique opportunity to be part of a team that values creativity and innovation, making a significant difference in the lives of users worldwide.

Benefits

Comprehensive medical coverage

Dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discounted products

Free services

Discretionary bonuses

Relocation assistance

Qualifications

• 8+ years of experience in program management for ML products.
• Strong analytical skills with a focus on user experience.

Responsibilities

• Build and manage project timelines with clear dependencies.
• Partner with engineering teams to define quality deliverables.

Skills

Program Management

Machine Learning

Data Analysis

Communication Skills

Negotiation

Education

BS in Electrical Engineering

MS in Computer Science

Tools

Data Science Dashboards

A/B Testing Tools

Job description

AIML - Sr Engineering Program Manager, Innovation

Seattle, Washington, United States Software and Services

Summary

Posted: Aug 23, 2024

Role Number: 200564998

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? The Apple AIML org is building groundbreaking technology... and we are looking for people like you! Apple offers a collaborative work environment that fosters creativity and innovation. Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences. We’re looking for an outstanding Engineering Program Manager with a solid track record of driving highly cross-functional projects dependent on innovative machine learning technologies. This role is critical in driving quality improvement for products impacting over 1 billion customers, and is crucial to crafting the highest quality user experience that Apple customers expect and love.

Description

In this role you will build and run project timelines with clear dependencies, critical path and systematic methodology to communicate status. You will handle risks and mitigations, re-plan as events warrant and drive alignment across the organization and between teams. Additional responsibilities include:

1. Partner with cross-functional engineering teams and define key deliverables to measure quality of Apple Intelligence features with Privacy at the core of it.
2. Bring impact to billions of users with your ML expertise, passion for great user experiences and project management skills.
3. Work with data science and data engineering teams to develop data collection and evaluation solutions.
4. Work with annotation operation teams to optimize and lead human data collection and evaluations efforts.
5. Work with engineering, privacy, and legal teams to develop safe data collection.
6. Work with research teams to develop long-term evaluation solutions.

Minimum Qualifications

1. 8+ years of experience in driving large scale program building machine learning powered products.
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. Experience working with data science dashboards, reporting and A/B Testing.
4. Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+).
5. Strong analytical skills and a curiosity to peel the onion to discover opportunities for impact and better user experience.
6. Strong verbal and written communication skills, including negotiation, presentation and influence.

Preferred Qualifications

BS/MS in EE/CS/CE or equivalent.

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.