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Applications of ML Engineering Manager

Apple

Salary not specified
Dec 21, 2025
San Francisco, CA, US
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Apple Services Engineering (ASE) is looking for a Manager in Responsible Development & Safety to shape policies and model and application evaluation processes to ensure the safe and responsible deployment of user-facing AI features across their services.

Requirements

  • Proficiency in Python for data analysis (pandas, NumPy, Jupyter, etc.).
  • Experience working with large datasets, annotation tools, or model-evaluation pipelines.
  • Ability to design taxonomies, categorization schemes, or structured rating frameworks.
  • Experience working directly with LLMs, LMMs, and generative AI and agentic systems, in a development and/or evaluation capacity.
  • 5+ years experiences with AI evaluations, managed with a diverse sets of collaborators, such as Product, Engineering, Security, and Legal teams.
  • Experience navigating and assessing complex societal questions related to technology development, including balancing the benefits and risks of research and applications.
  • 5+ years proven experience with AI product and/or user policies in multiple regions of the world

Responsibilities

  • Shape and support implementation of safety policies defined by AI Product teams.
  • Collaborate with AIML, Product & Design, Privacy, Human-centered AI, policy leads, and business owners to define model and application evaluation requirements, set priorities, and scope and manage execution of AI /ML model and application evaluations.
  • Work with Senior Managers to set objectives and key results and the long-term strategy for safety evaluation, including benchmarks, automated methods, and ongoing monitoring of safety performance of AI models.
  • Develop new programming and generate opportunities for ASE to regularly engage with Policy, Legal, and Privacy teams.
  • Develop and document standard processes through working with machine learning engineers and experts, and where appropriate, external organizations.
  • Reviewing AI model performance, and providing guidance.
  • Use your expertise in technology’s societal implications to improve the safety development ecosystem as a manager of a small team developing and conducting safety evaluations.

Other

  • Lead a team of individual contributors.
  • Strong management skills, including the ability to communicate effectively in tight turnaround times.
  • Excellent experience collaborating with technical stakeholders and highly interdisciplinary teams.
  • Strong communication skills, both written and verbal.
  • Strong ability to stitch together qualitative and quantitative findings into actionable guidance.