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Apple Engineering Program Manager Machine Learning United States, Washington, Seattle 72534383
07.04.2025
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- Program management in ML Infrastructure: 7+ years of experience leading ML infrastructure data products and managing cross-functional teams as a program manager, with a focus on driving impactful programs from concept to delivery.
- Proven Delivery of Large-Scale Solutions: Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products, including data storage, feature store, data management, data versioning, privacy, governance, analytics, and backend services that support high-throughput, user-facing applications.
- Technical Expertise in Cloud and Hybrid Platforms: Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure and data platforms.
- User-Centric Program Strategy: Passionate about optimizing the user experience, providing thought leadership to enhance end-to-end user interactions for technical products.
- BS with 4 years or MS
- Proven Experience in ML Infrastructure Product Development: Skilled in building ML infrastructure data products and driving their adoption with engineering teams across diverse organizations.
- Expertise in Data and Machine Learning Products: Strong background in developing and managing data and machine learning products is highly advantageous.
- Technical Proficiency in ML and Data Tools: Familiarity with ML infrastructure, frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python, and other advanced analytical tools is a significant asset.
- Outcome-Driven Program Management with OKRs: Experienced in using OKRs (Objectives and Key Results) to drive clear, measurable product outcomes aligned with program goals.
- Exceptional Program Management Skills: Strong program management capabilities with the ability to coordinate complex, cross-functional programs across multiple organizations effectively.
- Partnership with Product and Engineering: Skilled in building strong partnerships with product and engineering teams by translating user needs into detailed, actionable feature requirements.
- Data-Driven Decision Making: Uses data and metrics to support assumptions, make informed recommendations, drive actions, and measure outcomes.
- Proactive and Strategic Problem-Solving: Self-motivated, independent, and proactive, with a creative and critical thinking approach; adept at triaging, prioritizing, building consensus, and leading cross-functional teams in high-pressure situations.
- Continuous Improvement Mindset: Proven track record in driving initiatives to enhance team quality, performance, agility, and effectiveness.
- Mentorship and Team Development: Experienced in mentoring and developing program and product managers, fostering growth and building team capabilities.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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