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Engineering Program Manager for Machine Learning and Data
2 months ago
We are seeking an experienced Engineering Program Manager to lead our Data Engineering team at Apple. As a key member of our System Intelligence and Machine Learning (SIML) group, you will be responsible for driving the design and development of data infrastructure and machine learning pipelines.
Key Responsibilities- Own project planning and coordination for large Data Engineering initiatives, including requirements gathering, scoping effort, prioritizing, resource allocation, and schedule of deliverables.
- Represent the DE team in conversations with R&D teams, Data Ops teams, and external vendors to ensure data engineering topics are raised, discussed, tracked, and resolved appropriately.
- Facilitate communication cross-functionally with other teams to ensure that requirements are well understood, and that priorities and delivery schedules expectations are managed.
- Drive data governance and other regulatory/privacy initiatives and ensure that processes are well documented and maintained to the high standards of Apple.
- 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.
- Identify problems/opportunities and pitch solutions (both technical & process-oriented) in how Data Engineering can scale its impact and increase velocity.
- 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) and 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.
- 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).
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.
