Full-Time

SWE – Engineering Program Manager

Machine Learning and Data

Confirmed live in the last 24 hours

Apple

Apple

10,001+ employees

Designs and sells consumer electronics and software

VR & AR
Consumer Software
Fintech
Consumer Goods

Compensation Overview

$165.5k - $248.7kAnnually

+ Bonus + Commission + Stock Options

Senior

Cupertino, CA, USA

Category
Project Management
AI & Machine Learning
Software Engineering
Business & Strategy
Required Skills
Python
Grafana
Airflow
NoSQL
Apache Spark
SQL
Machine Learning
Tableau
AWS
Databricks
Snowflake

You match the following Apple's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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.
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 that we partner with to ensure data engineering topics are raised, discussed, tracked, and resolved appropriately.
  • Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed.
  • Drive data governance and other regulatory/privacy initiatives and make sure 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.
Desired 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).

Apple Inc. designs, manufactures, and sells a variety of technology products and services, including iPhones, iPads, Mac computers, Apple Watches, and Apple TVs. The company also offers services like the App Store, Apple Music, iCloud, and Apple Pay. Apple's products work together seamlessly, providing users with a cohesive experience across devices. This integration is a key differentiator from competitors, as it allows for easy interaction between hardware and software. Apple's goal is to enhance user experience through continuous innovation while expanding its market presence and customer loyalty, particularly through services like the Apple Card and trade-in programs that promote sustainability.

Company Stage

IPO

Total Funding

$619.1K

Headquarters

Cupertino, California

Founded

1976

Simplify Jobs

Simplify's Take

What believers are saying

  • AirPods Pro 3's health tracking taps into the growing wearable health tech market.
  • Apple Music's new PR leadership could strengthen brand presence in the music industry.
  • Smart home hub development positions Apple as a key player in home automation.

What critics are saying

  • Health tracking features may face regulatory scrutiny over data privacy concerns.
  • AI-powered smart home devices increase competition with Amazon and Google.
  • $430 billion U.S. investment may be affected by economic and policy changes.

What makes Apple unique

  • Apple's integrated hardware and software create a seamless user experience across devices.
  • The Apple Card offers unique financial incentives, enhancing customer loyalty and engagement.
  • Apple's spatial computing innovations provide immersive experiences without physical controllers.

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Benefits

Health Insurance

Dental Insurance

401(k) Retirement Plan

401(k) Company Match

Tuition Reimbursement

Performance Bonus

Relocation Assistance

Employee Stock Purchase Plan