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Machine Learning Engineering Manager (Computer Vision), SIML - ISE

Apple

$216,600 - $325,500
Aug 25, 2025
Seattle, WA, US
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Apple's System Intelligence Machine Learning (SIML) organization is looking to develop the next generation of multi-modal human sensing technologies, which is at the heart of the most loved features on Apple platforms.

Requirements

  • Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
  • Proficient in Python, Pytorch or equivalent DL frameworks
  • Proven track record to design and implement solutions using modern ML architecture
  • Experience leading projects
  • Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments
  • Experience managing teams
  • Proficient in Python, Pytorch or equivalent DL frameworks

Responsibilities

  • Managing the team, ensuring high productivity and individual growth
  • Defining team roadmap and plans based on thorough understanding of product needs, organization and company goals, and the state of the art
  • Technical, and preferably hands-on, guidance to the team on designing, and implementation of state-of-the-art visual recognition systems
  • Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations
  • Staying abreast with the latest trends, technologies, and best practices in machine learning, multi-modal foundation models, computer vision and natural language understanding
  • Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners
  • Setting the long-term strategy and research roadmap, ensuring strong cross-functional collaboration and alignment with partner teams, and guiding team execution to deliver ML models and benchmarks on a timely manner

Other

  • Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
  • Experience leading projects
  • Experience managing teams
  • Strong cross-functional collaboration and alignment with partner teams
  • Ability to communicate results and insights gained to partners and senior leaders