Finding the best job has never been easier
Apple Engineering Program Manager Machine Learning Data United States, California, Cupertino 122776633
03.04.2025
Share
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.
- 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.
- Bachelor’s degree in Computer Science or related field; or equivalent experience.
- Experience working in modern data infrastructure stack, including Python/Java, orchestration such as Airflow, distributed computing (Spark, Snowflake, Databricks, etc.), databases (No)SQL (Cassandra, MongoDB, Redis, traditional relational sql), embeddings & vector search, dashboards (Tableau, Grafana), AWS.
- 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 understanding of how data fits into ML.
- 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).
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
