AIML - Sr Manager, EPM - ML Compute & Capacity Management
Job Description
Summary
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 Compute Platform. This platform provides services to all internal Apple developers focused on providing efficient and scalable compute and processing for the machine learning lifecycle, from model experimentation to deployment for features across the entire Apple consumer ecosystem.
We’re looking for someone with a passion in this space and experience building large-scale infrastructure for cloud platforms with a strong knowledge of ML workflow. You will partner with the engineering teams and other product/program managers across the org to drive and influence our compute roadmap for improving engineering efficiencies, reducing cost, and ensuring resiliency for Apple's ML use cases. You will also have the opportunity to be the leader with vision, identifying new technologies for adoption and be the central PM voice for interactions with public cloud providers, such as AWS and GCP, as well as internal Apple Cloud. Come join us and build the new frontier technologies that support Apple Intelligence!
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 Compute Platform. This platform provides services to all internal Apple developers focused on providing efficient and scalable compute and processing for the machine learning lifecycle, from model experimentation to deployment for features across the entire Apple consumer ecosystem.
We’re looking for someone with a passion in this space and experience building large-scale infrastructure for cloud platforms with a strong knowledge of ML workflow. You will partner with the engineering teams and other product/program managers across the org to drive and influence our compute roadmap for improving engineering efficiencies, reducing cost, and ensuring resiliency for Apple's ML use cases. You will also have the opportunity to be the leader with vision, identifying new technologies for adoption and be the central PM voice for interactions with public cloud providers, such as AWS and GCP, as well as internal Apple Cloud. Come join us and build the new frontier technologies that support Apple Intelligence!
Description
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 improving the ease of use of the compute services. You will collaborate with 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. We 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 low-cost, high-performance solutions that meet their use cases and business outcomes.
RESPONSIBILITIES INCLUDE:
- Translate the product/program requirements to technical use cases, helping to see around corners and enabling risk mitigation for engineering execution through creating a 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 stakeholders.
- 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.
- 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
RESPONSIBILITIES INCLUDE:
- Translate the product/program requirements to technical use cases, helping to see around corners and enabling risk mitigation for engineering execution through creating a 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 stakeholders.
- 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.
- 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
Minimum Qualifications
- MS/PhD in EE, CS, Math, or Physics or equivalent work experience
- 10+ years of Product Management, including 5+ years of work experience in leading and managing people in ML Infrastructure space
- 3+ years of working in a large matrixed organization with operating budgets and/or project financials.
- Demonstrated ability to define product vision, strategy, and roadmap, along with the ability to deliver and execute
- Familiarity with AI frameworks (e.g., Tensorflow, Pytorch, or MxNet) and/or GPU development experience
Preferred Qualifications
- Knowledge of computer systems and cloud infrastructure architecture or Software development and some data science experience
- Technical product/program management experience covering some or as many of the following areas as possible: distributed computing, large-scale cloud infrastructure, GPU/TPU usage for ML training, software and computing architectures, container stack, and networking.
- Strong desire to learn, aptitude for problem-solving, and the ability to make sophisticated trade-offs.
- Experience developing or deploying large-scale GPU-based AI applications, like Natural Language Processing and Recommendation, for training and inference or direct experience building or managing cloud computing infrastructure and technologies.
- Proficiency in multitasking and leading sophisticated programs with a track record in launching outstanding platforms to market.
- Have led and scaled a team of product/program managers. Foster a culture of innovation, accountability, and continuous improvement. Provided mentorship and career development opportunities to team members, ensuring they are motivated and equipped to meet their goals.
- 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 (real-time) 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
- Responsible for the entire product development lifecycle from concept through launch and beyond.
- Excellent interpersonal skills, including ability to explain sophisticated technical topics to non-experts
Pay & Benefits
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