Apple's AIML team is looking to build groundbreaking technology and needs a Manager of Engineering Program Managers for its ML Compute platform to provide efficient and scalable compute and processing for machine learning lifecycle
Requirements
- Strong understanding of the end-to-end machine learning lifecycle, from data collection, data/model lineage to model monitoring, including MLOps tools and techniques.
- Familiarity or experience with MLOps frameworks and tools (e.g., Kubernetes, MLflow, Weights and Biases, vertex AI and so on).
- Familiarity with cloud-based ML platforms (AWS, GCP, Azure) and model deployment strategies.
- Background in Data, AI/ML, data science, or software development is a plus.
- Proven experience managing cross-functional teams and large-scale projects, ideally in Data, ML/AI or software engineering contexts.
- Demonstrated problem-solving and risk management abilities, with experience in agile methodologies.
- Ability to drive initiatives in fast-paced environments, balancing competing priorities and managing ambiguity.
Responsibilities
- As a key EPM of the AIML team, you will be responsible for managing a group of EPMs establishing cross-functional partnerships with ML partners, understanding their use cases and improve the ease of use of the compute services.
- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem including 3rd party public cloud, Apple’s internal cloud, silicon vendors, and OSS providers
- Translate the product/program requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.
- Define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external partners.
- Drive complete product life cycle from idea to development to go-to-market within Apple.
- Support Engineering with use cases, platform architecture, software stack, and the total solution value proposition for ML Compute needs.
- Interact with external ML Compute vendors, to ensure product success.
Other
- 10+ years of program management experience, with at least 5 years leading complex, technical programs in machine learning or data-driven environments.
- Have led and scaled a team of product/program managers. Foster a culture of innovation, accountability, and continuous improvement.
- Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business impacts.
- Ability to drive initiatives in fast-paced environments, balancing competing priorities and managing ambiguity.
- 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
