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Apple Engineering Program Manager Machine Learning Data - SIML United States, California, Cupertino 862241252
03.08.2024
Description
As the Engineering Program Manager for the Data Engineering group, you will help bring planning and program management excellence for our largest efforts. You will be a champion to scale the team's impact by enabling efficiency, scalability, and streamlined execution. In addition, you will also help accelerate progress on the various tools and technologies used by the team by influencing the roadmap of other engineering teams across Apple. IN THIS ROLE YOU WILL:- Own project planning and coordination for large Data Engineering initiatives, including requirements gathering, scoping effort, prioritizing, resource allocation, and schedule of deliverables. - Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed. - Partner with our engineering manager to help execute on the long term engineering initiatives by building a roadmap that balances short term requests and long term initiatives.
Minimum Qualifications
- 5+ years of experience in driving the design and development of data infrastructure and machine learning pipelines as a Technical Program Manager and/or Software Engineer.
- Proven experience in driving the design and development of data tools and infrastructure as a Technical Program Manager and/or as a Software Engineer.
- Familiarity with Machine learning (ML development lifecycle, typical data workflows, and model metrics) an understanding of how data fits into ML.
- Experience working with Python, AWS, Airflow, Spark, Snowflake/Databricks, (No)SQL, Distributed Computing, Dashboards (Tableau, Grafana).
- Experience in understanding and managing Engineering tools & infrastructure and influencing cross-team roadmaps to align with team/project needs.
- High quality program management skills including program structuring and managing multiple work streams interdependently.
- Demonstrated talent for effecting change and driving results through influence, and an ability to navigate complex organizational structures to foster collaboration across functions.
Preferred Qualifications
- Understanding of generative technologies (LLMs, diffusion models).
- Proven experience working directly or adjacent to ML data operations (synthetic data creation, human data collection/annotation, data quality management) in support of machine learning features.
- Experience with state-of-the-art ML techniques (transformer architecture, CLIP & other visual and text embedding models etc).
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 $248,700, and your base pay will depend on your skills, qualifications, experience, and location.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.
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