AIML - Sr Engineering Program Manager, Evaluation

AIML - Sr Engineering Program Manager, Evaluation

Cupertino, California, United States

Machine Learning and AI

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. As an AIML Engineering Program Manager (EPM) at Apple, you will drive complex and innovative GenAI-based features that are essential to the success of Apple's products. We seek candidates with exceptional emotional intelligence who can lead diverse cross-functional teams to deliver key features integrated across all Apple products and services.

Description

Drive and ship all aspects of large, cross-functional projects. Lead concurrent initiatives by defining project scope, authoring requirements, verifying resource allocation across the technology stack, identifying and mitigating risks, and establishing concise and thorough project timelines. Establish trust and create opportunities for seamless collaboration with colleagues across the AIML organization along with other Apple groups (e.g. Software Engineering, Hardware, Services) to ensure successful delivery of critical features.

Minimum Qualifications

• 10+ years of experience in leading successful software programs.
• Have personally orchestrated the successful delivery of multiple significant client/server software products involving large-scale, cross-functional teams.
• Strong analytical skills with a curiosity and appetite for solving complex problems.
• High level of accountability and responsibility.
• Ability to drive strategic priorities and ensure teams are focused on the right things at the right time.
• Self-motivated, and able to motivate colleagues, to drive tasks to completion.
• Excellent communication and presentation skills (written and verbal).
• Comfortable communicating and presenting at all organizational levels.
• Strong technical proficiency.
• Bachelor's degree or equivalent.

Preferred Qualifications

• Experience with GenAI and machine learning-powered features, particularly in the model evaluation space, is a significant advantage.
• Masters (or higher) in Computer Science or related field is a significant advantage.

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 $172,100 and $305,600, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.