AIML - Sr Engineering Program Manager, NLU Evaluation

In this role, you will:

1. Build and run project timelines with clear dependencies, critical path and systematic methodology to communicate status.
2. Handle risks and mitigations, and re-plan as events warrant. Drive alignment across the organization and between teams.
3. Partner with cross-functional engineering teams to define human annotation requirements vital to launch and maintain premier Apple software products.
4. Drive on time delivery and deployment, identifying development and feasibility needs, establishing achievements for checkpoints and status updates.
5. Work with data science and data engineering teams to develop data collection and ML model evaluation solutions.
6. Work with annotation operation teams to optimize and lead human data collection and evaluation efforts.
7. Work with engineering, privacy, and legal teams to develop safe data collection.
8. Work with research teams to develop long-term evaluation solutions.

Minimum Qualifications

1. 6+ years of experience in project or program management shipping products driven by machine-learned systems to worldwide users.
2. 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.
3. Detailed understanding of testing, build and release processes for sophisticated software.
4. Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.
5. Ability to communicate abstract ideas clearly and independently manage complex project objectives.
6. Strong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations and communication strategies.
7. Bachelors or Master’s degree in Computer Science or related field.

Preferred Qualifications

1. Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100+) to accomplish.
2. Superior group facilitation, interviewing and influence skills.
3. Prior PM or engineering experience in machine learning, natural language understanding or search.
4. Knowledge in machine learning infrastructure and data pipeline, and/or model evaluation.
5. M.S. or Ph.D. degree with a focus in machine learning, data mining or statistics.

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 $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.