AIML - Sr Engineering Program Manager, ML Lifecycle Platform
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
The AIML team at Apple is building the next generation of Machine Learning models, and we are looking for people like you to come build Apple Intelligence with us! The Machine Learning Platform & Technology (MLPT) team in the AIML organization is seeking a Senior Engineering Program Manager for its ML Lifecycle Platform. This platform is instrumental in driving the adoption of our ML platform tools and services. You will bring with you a deep understanding of the ML lifecycle, from data ingestion and preparation to model training, deployment, monitoring, and retraining. You will be a key driver in establishing best practices for ML Lifecycle, improving efficiency, and ensuring the privacy, reliability and scalability of our ML solutions for machine learning lifecycle from model experimentation to deployment for the features across the entire Apple consumer ecosystem.
We’re looking for someone with passion in this space and an experience partnering with the engineering teams and other product/program managers across the org to drive and influence our ML Lifecycle roadmap for Apple's ML use cases. Come, join us and build the new frontier technologies that support Apple Intelligence!
- As a key EPM of the AIML team, you will be responsible for establishing cross-functional partnerships with ML stakeholders understanding their use cases and improve the ease of use of the ML Lifecycle services.
- Support the execution and implementation of our ML platform, with a primary focus on Apple’s ML Lifecycle platform This includes managing pipelines, model registries, feature stores, and other related services.
- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem for defining processes and tools for managing the entire ML lifecycle, including data management, model training, validation, deployment, monitoring, and retraining.
- Work with best in class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle. You will be the trusted advisor to our customers to deeply understand their needs and help deliver their use cases and business outcomes
- 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.
- Drive complete product life cycle from idea to development to go-to-market within Apple.
- Ensure the program meets all specifications and key metrics.
- Translate customer feedback and market dynamics into potential changes to ensure a differentiated product roadmap and communicate this to senior management
- 5+ years of Program Management or related work experience in ML Infrastructure space
- 3+ years of working in a large matrixed organization
- 2+ years of working with operating budgets and/or project financials
- Demonstrated ability to execute, plan and define product roadmap
- Familiarity with AI frameworks (e.g. Tensorflow, Pytorch or MxNet) and/or GPU development experience
- Familiarity working on ML Lifecycle areas with at least 2 or 3 of the areas in Data, Training, Inference.
- Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts
- Technical product/program management experience covering some or as many of the following areas as possible: ML training, software and computing architectures.
- Strong desire to learn, aptitude for problem solving, and the ability to make sophisticated trade-offs.
- Proficiency in multitasking and leading sophisticated programs with a track record in launching outstanding platforms to market.
- Foster a culture of innovation, accountability, and continuous improvement.
- Experienced closely working with engineering leaders, data science teams, and other organizations to synchronize efforts and prioritize projects that improve product impact and value.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure
- Outstanding interpersonal skills, including the ability to persuade and influence a diverse set of internal Apple and external public cloud stakeholders
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